def get_example_tree():
# Set dashed blue lines in all leaves
nst1 = NodeStyle()
nst1["bgcolor"] = "LightSteelBlue"
nst2 = NodeStyle()
nst2["bgcolor"] = "Moccasin"
nst3 = NodeStyle()
nst3["bgcolor"] = "DarkSeaGreen"
nst4 = NodeStyle()
nst4["bgcolor"] = "Khaki"
t = Tree("((((a1,a2),a3), ((b1,b2),(b3,b4))), ((c1,c2),c3));")
for n in t.traverse():
n.dist = 0
n1 = t.get_common_ancestor("a1", "a2", "a3")
n1.set_style(nst1)
n2 = t.get_common_ancestor("b1", "b2", "b3", "b4")
n2.set_style(nst2)
n3 = t.get_common_ancestor("c1", "c2", "c3")
n3.set_style(nst3)
n4 = t.get_common_ancestor("b3", "b4")
n4.set_style(nst4)
ts = TreeStyle()
ts.layout_fn = layout
ts.show_leaf_name = False
ts.mode = "c"
ts.root_opening_factor = 1
return t, ts
def get_example_tree():
t = Tree()
ts = TreeStyle()
ts.layout_fn = layout
ts.mode = "r"
ts.show_leaf_name = False
t.populate(10)
return t, ts
def get_example_tree():
t = Tree()
ts = TreeStyle()
ts.layout_fn = layout
ts.mode = "r"
ts.show_leaf_name = False
t.populate(10)
return t, ts
def get_example_tree():
t = Tree()
ts = TreeStyle()
ts.layout_fn = layout
ts.mode = "c"
ts.show_leaf_name = True
ts.min_leaf_separation = 15
t.populate(100)
return t, ts
def get_example_tree():
t = Tree()
t.populate(8, reuse_names=False)
ts = TreeStyle()
ts.layout_fn = master_ly
ts.title.add_face(faces.TextFace("Drawing your own Qt Faces", fsize=15), 0)
return t, ts
def get_example_tree():
t = Tree()
t.populate(10)
ts = TreeStyle()
ts.rotation = 45
ts.show_leaf_name = False
ts.layout_fn = rotation_layout
return t, ts
def get_example_tree():
t = Tree()
t.populate(8, reuse_names=False)
ts = TreeStyle()
ts.layout_fn = master_ly
ts.title.add_face(faces.TextFace("Drawing your own Qt Faces", fsize=15), 0)
return t, ts
def get_example_tree():
t = Tree()
t.populate(8)
# Node style handling is no longer limited to layout functions. You
# can now create fixed node styles and use them many times, save them
# or even add them to nodes before drawing (this allows to save and
# reproduce an tree image design)
# Set bold red branch to the root node
style = NodeStyle()
style["fgcolor"] = "#0f0f0f"
style["size"] = 0
style["vt_line_color"] = "#ff0000"
style["hz_line_color"] = "#ff0000"
style["vt_line_width"] = 8
style["hz_line_width"] = 8
style["vt_line_type"] = 0 # 0 solid, 1 dashed, 2 dotted
style["hz_line_type"] = 0
t.set_style(style)
#Set dotted red lines to the first two branches
style1 = NodeStyle()
style1["fgcolor"] = "#0f0f0f"
style1["size"] = 0
style1["vt_line_color"] = "#ff0000"
style1["hz_line_color"] = "#ff0000"
style1["vt_line_width"] = 2
style1["hz_line_width"] = 2
style1["vt_line_type"] = 2 # 0 solid, 1 dashed, 2 dotted
style1["hz_line_type"] = 2
t.children[0].img_style = style1
t.children[1].img_style = style1
# Set dashed blue lines in all leaves
style2 = NodeStyle()
style2["fgcolor"] = "#000000"
style2["shape"] = "circle"
style2["vt_line_color"] = "#0000aa"
style2["hz_line_color"] = "#0000aa"
style2["vt_line_width"] = 2
style2["hz_line_width"] = 2
style2["vt_line_type"] = 1 # 0 solid, 1 dashed, 2 dotted
style2["hz_line_type"] = 1
for l in t.iter_leaves():
l.img_style = style2
ts = TreeStyle()
ts.layout_fn = layout
ts.show_leaf_name = False
return t, ts
def get_example_tree():
t = Tree()
t.populate(8)
# Node style handling is no longer limited to layout functions. You
# can now create fixed node styles and use them many times, save them
# or even add them to nodes before drawing (this allows to save and
# reproduce an tree image design)
# Set bold red branch to the root node
style = NodeStyle()
style["fgcolor"] = "#0f0f0f"
style["size"] = 0
style["vt_line_color"] = "#ff0000"
style["hz_line_color"] = "#ff0000"
style["vt_line_width"] = 8
style["hz_line_width"] = 8
style["vt_line_type"] = 0 # 0 solid, 1 dashed, 2 dotted
style["hz_line_type"] = 0
t.set_style(style)
#Set dotted red lines to the first two branches
style1 = NodeStyle()
style1["fgcolor"] = "#0f0f0f"
style1["size"] = 0
style1["vt_line_color"] = "#ff0000"
style1["hz_line_color"] = "#ff0000"
style1["vt_line_width"] = 2
style1["hz_line_width"] = 2
style1["vt_line_type"] = 2 # 0 solid, 1 dashed, 2 dotted
style1["hz_line_type"] = 2
t.children[0].img_style = style1
t.children[1].img_style = style1
# Set dashed blue lines in all leaves
style2 = NodeStyle()
style2["fgcolor"] = "#000000"
style2["shape"] = "circle"
style2["vt_line_color"] = "#0000aa"
style2["hz_line_color"] = "#0000aa"
style2["vt_line_width"] = 2
style2["hz_line_width"] = 2
style2["vt_line_type"] = 1 # 0 solid, 1 dashed, 2 dotted
style2["hz_line_type"] = 1
for l in t.iter_leaves():
l.img_style = style2
ts = TreeStyle()
ts.layout_fn = layout
ts.show_leaf_name = False
return t, ts
def get_example_tree():
# Create a random tree and add to each leaf a random set of motifs
# from the original set
t = Tree()
t.populate(10)
# for l in t.iter_leaves():
# seq_motifs = [list(m) for m in motifs] #sample(motifs, randint(2, len(motifs)))
# seqFace = SeqMotifFace(seq, seq_motifs, intermotif_format="line",
# seqtail_format="compactseq", scale_factor=1)
# seqFace.margin_bottom = 4
# f = l.add_face(seqFace, 0, "aligned")
ts = TreeStyle()
ts.layout_fn = layout
t.show(tree_style=ts)
return t, ts
def get_example_tree():
# Create a random tree and add to each leaf a random set of motifs
# from the original set
t = Tree()
t.populate(10)
# for l in t.iter_leaves():
# seq_motifs = [list(m) for m in motifs] #sample(motifs, randint(2, len(motifs)))
# seqFace = SeqMotifFace(seq, seq_motifs, intermotif_format="line",
# seqtail_format="compactseq", scale_factor=1)
# seqFace.margin_bottom = 4
# f = l.add_face(seqFace, 0, "aligned")
ts = TreeStyle()
ts.layout_fn = layout
t.show(tree_style=ts)
return t, ts
def __init__(self, tree, alg_type=None, ncbitaxa=True):
self.tree = tree
self.tree.dist = 0
self.svg = None
self.layouts = None
self.treestyle = TreeStyle()
self.alg_type = alg_type
ts = self.treestyle
ts.draw_aligned_faces_as_table = False
ts.draw_guiding_lines = False
ts.show_leaf_name = False
ts.show_branch_support = False
ts.tree_width = 250
ts.layout_fn = [self.ly_basic, self.ly_leaf_names, self.ly_supports]
self.ncbitaxa = ncbitaxa
if ncbitaxa:
ts.layout_fn.append(self.ly_tax_labels)
if self.alg_type == 'condensed':
ts.layout_fn.append(self.ly_condensed_alg)
elif self.alg_type == 'block':
ts.layout_fn.append(self.ly_block_alg)
self.TRACKED_CLADES = set()
if ncbitaxa:
tree.set_species_naming_function(spname)
annotate_tree_with_ncbi(tree)
for lf in tree:
for lname in getattr(lf, 'named_lineage', [])[2:9]:
self.TRACKED_CLADES.add(lname.lower())
self.TRACKED_CLADES.update(map(lower, ["Eukaryota", "Viridiplantae", "Fungi", "birds", "Basidiomycota", "Ascomycota",
"Alveolata", "Metazoa", "Stramenopiles", "Rhodophyta", "mammalia", "Primates",
"Amoebozoa", "Crypthophyta", "Bacteria","Archaea", "Arthropoda", "rodentia", "laurastheria",
"Alphaproteobacteria", "Betaproteobacteria", "Cyanobacteria",
"Gammaproteobacteria",]))
colors = random_color(num=len(self.TRACKED_CLADES), s=0.45)
self.LIN2COLOR = dict([(ln, colors[i]) for i, ln in enumerate(sorted(self.TRACKED_CLADES))])
self.LIN2FACE = {}
for tname in self.TRACKED_CLADES:
linF = TextFace(tname, fsize=10, fgcolor='white', tight_text=False, ftype="Arial")
linF.margin_left = 3
linF.margin_right = 2
linF.inner_background.color = self.LIN2COLOR[tname.lower()]
self.LIN2FACE[tname.lower()] = linF
self.LABEL_START_COL = 100
self.ALG_START_COL = len(self.TRACKED_CLADES)+11
#tree.ladderize()
self.svg, self.img_map = tree.render("%%return", tree_style=ts)
def get_example_tree():
# Random tree
t = Tree()
t.populate(20, random_branches=True)
# Some random features in all nodes
for n in t.traverse():
n.add_features(weight=random.randint(0, 50))
# Create an empty TreeStyle
ts = TreeStyle()
# Set our custom layout function
ts.layout_fn = layout
# Draw a tree
ts.mode = "c"
# We will add node names manually
ts.show_leaf_name = False
# Show branch data
ts.show_branch_length = True
ts.show_branch_support = True
return t, ts
def render_tree(tree, fname):
# Generates tree snapshot
npr_nodestyle = NodeStyle()
npr_nodestyle["fgcolor"] = "red"
for n in tree.traverse():
if hasattr(n, "nodeid"):
n.set_style(npr_nodestyle)
ts = TreeStyle()
ts.show_leaf_name = True
ts.show_branch_length = True
ts.show_branch_support = True
ts.mode = "r"
iterface = faces.TextFace("iter")
ts.legend.add_face(iterface, 0)
tree.dist = 0
tree.sort_descendants()
tree.render(fname, tree_style=ts, w=700)
def get_example_tree():
# Performs a tree reconciliation analysis
gene_tree_nw = '((Dme_001,Dme_002),(((Cfa_001,Mms_001),((Hsa_001,Ptr_001),Mmu_001)),(Ptr_002,(Hsa_002,Mmu_002))));'
species_tree_nw = "((((Hsa, Ptr), Mmu), (Mms, Cfa)), Dme);"
genetree = PhyloTree(gene_tree_nw)
sptree = PhyloTree(species_tree_nw)
recon_tree, events = genetree.reconcile(sptree)
recon_tree.link_to_alignment(alg)
return recon_tree, TreeStyle()
def get_example_tree():
# Set dashed blue lines in all leaves
nst1 = NodeStyle()
nst1["bgcolor"] = "LightSteelBlue"
nst2 = NodeStyle()
nst2["bgcolor"] = "Moccasin"
nst3 = NodeStyle()
nst3["bgcolor"] = "DarkSeaGreen"
nst4 = NodeStyle()
nst4["bgcolor"] = "Khaki"
t = Tree("((((a1,a2),a3), ((b1,b2),(b3,b4))), ((c1,c2),c3));")
for n in t.traverse():
n.dist = 0
n1 = t.get_common_ancestor("a1", "a2", "a3")
n1.set_style(nst1)
n2 = t.get_common_ancestor("b1", "b2", "b3", "b4")
n2.set_style(nst2)
n3 = t.get_common_ancestor("c1", "c2", "c3")
n3.set_style(nst3)
n4 = t.get_common_ancestor("b3", "b4")
n4.set_style(nst4)
ts = TreeStyle()
ts.layout_fn = layout
ts.show_leaf_name = False
ts.mode = "c"
ts.root_opening_factor = 1
return t, ts
def get_example_tree():
# Random tree
t = Tree()
t.populate(20, random_branches=True)
# Some random features in all nodes
for n in t.traverse():
n.add_features(weight=random.randint(0, 50))
# Create an empty TreeStyle
ts = TreeStyle()
# Set our custom layout function
ts.layout_fn = layout
# Draw a tree
ts.mode = "c"
# We will add node names manually
ts.show_leaf_name = False
# Show branch data
ts.show_branch_length = True
ts.show_branch_support = True
return t, ts
def get_example_tree():
t = Tree()
ts = TreeStyle()
ts.layout_fn = layout
ts.mode = "c"
ts.show_leaf_name = True
ts.min_leaf_separation = 15
t.populate(100)
return t, ts
def get_example_tree():
t = Tree("((a,b),c);")
right_c0_r0 = TextFace("right_col0_row0")
right_c0_r1 = TextFace("right_col0_row1")
right_c1_r0 = TextFace("right_col1_row0")
right_c1_r1 = TextFace("right_col1_row1")
right_c1_r2 = TextFace("right_col1_row2")
top_c0_r0 = TextFace("top_col0_row0")
top_c0_r1 = TextFace("top_col0_row1")
bottom_c0_r0 = TextFace("bottom_col0_row0")
bottom_c1_r0 = TextFace("bottom_col1_row0")
aligned_c0_r0 = TextFace("aligned_col0_row0")
aligned_c0_r1 = TextFace("aligned_col0_row1")
aligned_c1_r0 = TextFace("aligned_col1_row0")
aligned_c1_r1 = TextFace("aligned_col1_row1")
t.add_face(right_c0_r1, column=1, position="branch-right")
t.add_face(right_c0_r0, column=0, position="branch-right")
t.add_face(right_c1_r2, column=2, position="branch-right")
t.add_face(right_c1_r1, column=1, position="branch-right")
t.add_face(right_c1_r0, column=0, position="branch-right")
t.add_face(top_c0_r1, column=1, position="branch-top")
t.add_face(top_c0_r0, column=0, position="branch-top")
t.add_face(bottom_c0_r0, column=0, position="branch-bottom")
t.add_face(bottom_c1_r0, column=1, position="branch-bottom")
for leaf in t.iter_leaves():
leaf.add_face(aligned_c0_r1, 0, "aligned")
leaf.add_face(aligned_c0_r0, 0, "aligned")
leaf.add_face(aligned_c1_r1, 0, "aligned")
leaf.add_face(aligned_c1_r0, 0, "aligned")
return t, TreeStyle()
def get_example_tree():
# sample sequence and a list of example motif types
seq = "LHGRISQQVEQSRSQVQAIGEKVSLAQAKIEKIKGSKKAIKVFSSAKYPAPERLQEYGSIFTDAQDPGLQRRPRHRIQSKQRPLDERALQEKLKDFPVCVSTKPEPEDDAEEGLGGLPSNISSVSSLLLFNTTENLYKKYVFLDPLAGAVTKTHVMLGAETEEKLFDAPLSISKREQLEQQVPENYFYVPDLGQVPEIDVPSYLPDLPGIANDLMYIADLGPGIAPSAPGTIPELPTFHTEVAEPLKVGELGSGMGAGPGTPAHTPSSLDTPHFVFQTYKMGAPPLPPSTAAPVGQGARQDDSSSSASPSVQGAPREVVDPSGGWATLLESIRQAGGIGKAKLRSMKERKLEKQQQKEQEQVRATSQGGHLMSDLFNKLVMRRKGISGKGPGAGDGPGGAFARVSDSIPPLPPPQQPQAEDEDDWES"
motifs = [
# seq.start, seq.end, shape, width, height, fgcolor, bgcolor
[
10, 100, "[]", None, 10, "black", "rgradient:blue",
"arial|8|white|domain Name"
],
[110, 150, "o", None, 10, "blue", "pink", None],
[155, 180, "()", None, 10, "blue", "rgradient:purple", None],
[160, 170, "^", None, 14, "black", "yellow", None],
[172, 180, "v", None, 12, "black", "rgradient:orange", None],
[185, 190, "o", None, 12, "black", "brown", None],
[198, 200, "<>", None, 15, "black", "rgradient:gold", None],
[210, 240, "compactseq", 2, 10, None, None, None],
[300, 320, "seq", 10, 10, None, None, None],
[310, 345, "<>", None, 15, "black", "rgradient:black", None],
]
# Create a random tree and add to each leaf a random set of motifs
# from the original set
t = Tree()
t.populate(10)
for l in t.iter_leaves():
seq_motifs = [list(m) for m in motifs
] #sample(motifs, randint(2, len(motifs)))
seqFace = SeqMotifFace(seq,
seq_motifs,
intermotif_format="line",
seqtail_format="compactseq",
scale_factor=1)
seqFace.margin_bottom = 4
f = l.add_face(seqFace, 0, "aligned")
return t, TreeStyle()
def draw_tree(tree, conf, outfile):
try:
from ete_dev import (add_face_to_node, AttrFace, TextFace, TreeStyle, RectFace, CircleFace,
SequenceFace, random_color, SeqMotifFace)
except ImportError as e:
print e
return
def ly_basic(node):
if node.is_leaf():
node.img_style['size'] = 0
else:
node.img_style['size'] = 0
node.img_style['shape'] = 'square'
if len(MIXED_RES) > 1 and hasattr(node, "tree_seqtype"):
if node.tree_seqtype == "nt":
node.img_style["bgcolor"] = "#CFE6CA"
ntF = TextFace("nt", fsize=6, fgcolor='#444', ftype='Helvetica')
add_face_to_node(ntF, node, 10, position="branch-bottom")
if len(NPR_TREES) > 1 and hasattr(node, "tree_type"):
node.img_style['size'] = 4
node.img_style['fgcolor'] = "steelblue"
node.img_style['hz_line_width'] = 1
node.img_style['vt_line_width'] = 1
def ly_leaf_names(node):
if node.is_leaf():
spF = TextFace(node.species, fsize=10, fgcolor='#444444', fstyle='italic', ftype='Helvetica')
add_face_to_node(spF, node, column=0, position='branch-right')
if hasattr(node, 'genename'):
geneF = TextFace(" (%s)" %node.genename, fsize=8, fgcolor='#777777', ftype='Helvetica')
add_face_to_node(geneF, node, column=1, position='branch-right')
def ly_supports(node):
if not node.is_leaf() and node.up:
supFace = TextFace("%0.2g" %(node.support), fsize=7, fgcolor='indianred')
add_face_to_node(supFace, node, column=0, position='branch-top')
def ly_tax_labels(node):
if node.is_leaf():
c = LABEL_START_COL
largest = 0
for tname in TRACKED_CLADES:
if hasattr(node, "named_lineage") and tname in node.named_lineage:
linF = TextFace(tname, fsize=10, fgcolor='white')
linF.margin_left = 3
linF.margin_right = 2
linF.background.color = lin2color[tname]
add_face_to_node(linF, node, c, position='aligned')
c += 1
for n in xrange(c, len(TRACKED_CLADES)):
add_face_to_node(TextFace('', fsize=10, fgcolor='slategrey'), node, c, position='aligned')
c+=1
def ly_full_alg(node):
pass
def ly_block_alg(node):
if node.is_leaf():
if 'sequence' in node.features:
seqFace = SeqMotifFace(node.sequence, [])
# [10, 100, "[]", None, 10, "black", "rgradient:blue", "arial|8|white|domain Name"],
motifs = []
last_lt = None
for c, lt in enumerate(node.sequence):
if lt != '-':
if last_lt is None:
last_lt = c
if c+1 == len(node.sequence):
start, end = last_lt, c
motifs.append([start, end, "()", 0, 12, "slategrey", "slategrey", None])
last_lt = None
elif lt == '-':
if last_lt is not None:
start, end = last_lt, c-1
motifs.append([start, end, "()", 0, 12, "grey", "slategrey", None])
last_lt = None
seqFace = SeqMotifFace(node.sequence, motifs,
intermotif_format="line",
seqtail_format="line", scale_factor=ALG_SCALE)
add_face_to_node(seqFace, node, ALG_START_COL, aligned=True)
TRACKED_CLADES = ["Eukaryota", "Viridiplantae", "Fungi",
"Alveolata", "Metazoa", "Stramenopiles", "Rhodophyta",
"Amoebozoa", "Crypthophyta", "Bacteria",
"Alphaproteobacteria", "Betaproteobacteria", "Cyanobacteria",
"Gammaproteobacteria",]
# ["Opisthokonta", "Apicomplexa"]
colors = random_color(num=len(TRACKED_CLADES), s=0.45)
lin2color = dict([(ln, colors[i]) for i, ln in enumerate(TRACKED_CLADES)])
NAME_FACE = AttrFace('name', fsize=10, fgcolor='#444444')
LABEL_START_COL = 10
ALG_START_COL = 40
ts = TreeStyle()
ts.draw_aligned_faces_as_table = False
ts.draw_guiding_lines = False
ts.show_leaf_name = False
ts.show_branch_support = False
ts.scale = 160
ts.layout_fn = [ly_basic, ly_leaf_names, ly_supports, ly_tax_labels]
MIXED_RES = set()
MAX_SEQ_LEN = 0
NPR_TREES = []
for n in tree.traverse():
if hasattr(n, "tree_seqtype"):
MIXED_RES.add(n.tree_seqtype)
if hasattr(n, "tree_type"):
NPR_TREES.append(n.tree_type)
seq = getattr(n, "sequence", "")
MAX_SEQ_LEN = max(len(seq), MAX_SEQ_LEN)
if MAX_SEQ_LEN:
ALG_SCALE = min(1, 1000./MAX_SEQ_LEN)
ts.layout_fn.append(ly_block_alg)
if len(NPR_TREES) > 1:
rF = RectFace(4, 4, "steelblue", "steelblue")
rF.margin_right = 10
rF.margin_left = 10
ts.legend.add_face(rF, 0)
ts.legend.add_face(TextFace(" NPR node"), 1)
ts.legend_position = 3
if len(MIXED_RES) > 1:
rF = RectFace(20, 20, "#CFE6CA", "#CFE6CA")
rF.margin_right = 10
rF.margin_left = 10
ts.legend.add_face(rF, 0)
ts.legend.add_face(TextFace(" Nucleotide based alignment"), 1)
ts.legend_position = 3
try:
tree.set_species_naming_function(spname)
annotate_tree_with_ncbi(tree)
a = tree.search_nodes(species='Dictyostelium discoideum')[0]
b = tree.search_nodes(species='Chondrus crispus')[0]
#out = tree.get_common_ancestor([a, b])
#out = tree.search_nodes(species='Haemophilus parahaemolyticus')[0].up
tree.set_outgroup(out)
tree.swap_children()
except Exception:
pass
tree.render(outfile, tree_style=ts, w=170, units='mm', dpi=150)
tree.render(outfile+'.svg', tree_style=ts, w=170, units='mm', dpi=150)
tree.render(outfile+'.pdf', tree_style=ts, w=170, units='mm', dpi=150)
import sys
from ete_dev import Tree, faces, TreeStyle, COLOR_SCHEMES
sys.path.insert(0, "./")
def layout(node):
if node.is_leaf():
F= faces.PieChartFace([10,10,10,10,10,10,10,10,10,4,6], colors=COLOR_SCHEMES["set3"], width=100, height=100)
F.border.width = None
F.opacity = 0.8
faces.add_face_to_node(F,node, 0, position="branch-right")
F.background.color = "indianred"
x = faces.TextFace("hola")
faces.add_face_to_node(x,node, 1, position="branch-right")
x.background.color = "blue"
else:
F= faces.BarChartFace([40,20,70,100,30,40,50,40,70,12], min_value=0, colors=COLOR_SCHEMES["spectral"])
faces.add_face_to_node(F,node, 0, position="branch-top")
t = Tree()
ts = TreeStyle()
ts.layout_fn = layout
ts.mode = "r"
ts.show_leaf_name = False
t.populate(10)
t.show(tree_style=ts)
faces.add_face_to_node(f, node, 0, position="branch-bottom")
#f = faces.PieChartFace([100], node.size[0]*3, node.size[0]*3, ["blue"])
#faces.add_face_to_node(f, node, 0, position="branch-right")
f.border.width = 0
node.img_style["size"] = 10
node.img_style["shape"] = "square"
node.img_style["bgcolor"] = random_color()
node.img_style["hz_line_width"] = 0
node.img_style["vt_line_width"] = 0
#if node.is_leaf():
# f = faces.CircleFace(50, "red")
# faces.add_face_to_node(f, node, 0, position="aligned")
ts = TreeStyle()
ts.mode = "c"
ts.arc_span = 360
ts.layout_fn = layout
ts.show_leaf_name = False
ts.show_border = True
ts.draw_guiding_lines = False
ts.show_scale = True
#ts.scale = 60
t = Tree()
t.dist = 0
t.size = 0,0
for x in xrange(100):
n = t.add_child()
n = n.add_child()
style = NodeStyle()
style["fgcolor"] = "Gold"
style["shape"] = "square"
style["size"] = 15
style["vt_line_color"] = "#ff0000"
t.set_style(style)
# add a face to the style. This face will be render in any node
# associated to the style.
fixed = faces.TextFace("FIXED branch-right", fsize=11, fgcolor="blue")
t.add_face(fixed, column=1, position="branch-right")
# Bind the precomputed style to the root node
# ETE 2.1 has now support for general image properties
I = TreeStyle()
# You can add faces to the tree image (without any node
# associated). They will be used as headers and foot notes of the
# aligned columns (aligned faces)
I.aligned_header.add_face(t1, column = 0)
I.aligned_header.add_face(t1, 1)
I.aligned_header.add_face(t1, 2)
I.aligned_header.add_face(t1, 3)
t1.hz_align = 1 # 0 left, 1 center, 2 right
t1.border.width = 1
I.aligned_foot.add_face(t2, column = 0)
I.aligned_foot.add_face(t2, 1)
I.aligned_foot.add_face(t2, 2)
I.aligned_foot.add_face(t2, 3)
t2.hz_align = 1
import random
from ete_dev import Tree, TreeStyle, NodeStyle, faces, AttrFace, TreeFace
# Tree Style used to render small trees used as leaf faces
small_ts = TreeStyle()
small_ts.show_leaf_name = True
small_ts.scale = 10
def layout(node):
if node.is_leaf():
# Add node name to laef nodes
N = AttrFace("name", fsize=14, fgcolor="black")
faces.add_face_to_node(N, node, 0)
t = Tree()
t.populate(10)
T = TreeFace(t, small_ts)
# Let's make the sphere transparent
T.opacity = 0.8
# And place as a float face over the tree
faces.add_face_to_node(T, node, 1, position="aligned")
def get_example_tree():
# Random tree
t = Tree()
t.populate(20, random_branches=True)
# Some random features in all nodes
GAC GCA CGG TGG CAC AAC GTA AAA TTA AGA TGT GAA TTG AGA ACT CTG AAA AAA
TTG GGA CTG GTC GGC TTC AAG GCA GTA AGT CAA TTC GTA ATA CGT CGT GCG
>Chimp
CAC GCC CGA TGG CTC AAC GAA AAG TTA AGA TGC GAA TTG AGA ACT CTG AAA AAA
TTG GGA CTG GAC GGC TAC AAG GCA GTA AGT CAG TAC GTT AAA GGT CGT GCG
>Orangutan
GAT GCA CGC TGG ATC AAC GAA AAG TTA AGA TGC GTA TCG AGA ACT CTG AAA AAA
TTG GGA CTG GAC GGC TAC AAG GGA GTA AGT CAA TAC GTT AAA GGT CGT CCG
""")
#try:
# tree.run_model("fb")
# tree.run_model("M2")
#except:
# pass
tree.dist = 0
ts = TreeStyle()
ts.title.add_face(TextFace("Example for EvolTree, interactivity shows codons", fsize=15), column=0)
ts.layout_fn = test_layout_evol
#try:
# tree.show(tree_style=ts, histfaces=["M2"])
#except:
tree.show(tree_style=ts)
except:
tree = PhyloTree('(Orangutan,Human,Chimp);')
tree.link_to_alignment("""
>Chimp
HARWLNEKLRCELRTLKKLGLDGYKAVSQYVKGRA
>Orangutan
DARWINEKLRCVSRTLKKLGLDGYKGVSQYVKGRP
>Human
DARWHNVKLRCELRTLKKLGLVGFKAVSQFVIRRA
col += 1
# Add the corresponding face to the node
if name.startswith("Dme"):
faces.add_face_to_node(flyFace, node, column=col)
elif name.startswith("Dre"):
faces.add_face_to_node(fishFace, node, column=col)
elif name.startswith("Mms"):
faces.add_face_to_node(mouseFace, node, column=col)
elif name.startswith("Ptr"):
faces.add_face_to_node(chimpFace, node, column=col)
elif name.startswith("Hsa"):
faces.add_face_to_node(humanFace, node, column=col)
elif name.startswith("Cfa"):
faces.add_face_to_node(dogFace, node, column=col)
# Modifies this node's style
node.img_style["size"] = 16
node.img_style["shape"] = "sphere"
node.img_style["fgcolor"] = "#AA0000"
# If leaf is "Hsa" (h**o sapiens), highlight it using a
# different background.
if node.is_leaf() and node.name.startswith("Hsa"):
node.img_style["bgcolor"] = "#9db0cf"
# And, finally, Visualize the tree using my own layout function
ts = TreeStyle()
ts.layout_fn = mylayout
t.render("img_faces.png", w=600, tree_style = ts)
def main(argv):
parser = argparse.ArgumentParser(
description=__DESCRIPTION__,
formatter_class=argparse.RawDescriptionHelpFormatter)
# name or flags - Either a name or a list of option strings, e.g. foo or -f, --foo.
# action - The basic type of action to be taken when this argument is encountered at the command line. (store, store_const, store_true, store_false, append, append_const, version)
# nargs - The number of command-line arguments that should be consumed. (N, ? (one or default), * (all 1 or more), + (more than 1) )
# const - A constant value required by some action and nargs selections.
# default - The value produced if the argument is absent from the command line.
# type - The type to which the command-line argument should be converted.
# choices - A container of the allowable values for the argument.
# required - Whether or not the command-line option may be omitted (optionals only).
# help - A brief description of what the argument does.
# metavar - A name for the argument in usage messages.
# dest - The name of the attribute to be added to the object returned by parse_args().
parser.add_argument("--show",
dest="show_tree",
action="store_true",
help="""Display tree after the analysis.""")
parser.add_argument("--render",
dest="render",
action="store_true",
help="""Render tree.""")
parser.add_argument("--dump",
dest="dump",
action="store_true",
help="""Dump analysis""")
parser.add_argument(
"--explore",
dest="explore",
type=str,
help="""Reads a previously analyzed tree and visualize it""")
input_args = parser.add_mutually_exclusive_group()
input_args.required = True
input_args.add_argument("-t",
"--tree",
dest="target_tree",
nargs="+",
type=str,
help="""Tree file in newick format""")
input_args.add_argument("-tf",
dest="tree_list_file",
type=str,
help="File with the list of tree files")
parser.add_argument("--tax",
dest="tax_info",
type=str,
help="If the taxid attribute is not set in the"
" newick file for all leaf nodes, a tab file file"
" with the translation of name and taxid can be"
" provided with this option.")
parser.add_argument(
"--sp_delimiter",
dest="sp_delimiter",
type=str,
help=
"If taxid is part of the leaf name, delimiter used to split the string"
)
parser.add_argument(
"--sp_field",
dest="sp_field",
type=int,
default=0,
help="field position for taxid after splitting leaf names")
parser.add_argument("--ref",
dest="ref_tree",
type=str,
help="Uses ref tree to compute robinson foulds"
" distances of the different subtrees")
parser.add_argument("--rf-only",
dest="rf_only",
action="store_true",
help="Skip ncbi consensus analysis")
parser.add_argument(
"--outgroup",
dest="outgroup",
type=str,
nargs="+",
help="A list of node names defining the trees outgroup")
parser.add_argument("--is_sptree",
dest="is_sptree",
action="store_true",
help="Assumes no duplication nodes in the tree")
parser.add_argument("-o",
dest="output",
type=str,
help="Writes result into a file")
parser.add_argument("--tax2name", dest="tax2name", type=str, help="")
parser.add_argument("--tax2track", dest="tax2track", type=str, help="")
parser.add_argument("--dump_tax_info",
dest="dump_tax_info",
action="store_true",
help="")
args = parser.parse_args(argv)
if args.sp_delimiter:
GET_TAXID = lambda x: x.split(args.sp_delimiter)[args.sp_field]
else:
GET_TAXID = None
reftree_name = os.path.basename(args.ref_tree) if args.ref_tree else ""
if args.explore:
print >> sys.stderr, "Reading tree from file:", args.explore
t = cPickle.load(open(args.explore))
ts = TreeStyle()
ts.force_topology = True
ts.show_leaf_name = False
ts.layout_fn = ncbi_layout
ts.mode = "r"
t.show(tree_style=ts)
print >> sys.stderr, "dumping color config"
cPickle.dump(name2color, open("ncbi_colors.pkl", "w"))
sys.exit()
if args.output:
OUT = open(args.output, "w")
else:
OUT = sys.stdout
print >> sys.stderr, "Dumping results into", OUT
target_trees = []
if args.tree_list_file:
target_trees = [line.strip() for line in open(args.tree_list_file)]
if args.target_tree:
target_trees += args.target_tree
prev_tree = None
if args.tax2name:
tax2name = cPickle.load(open(args.tax2name))
else:
tax2name = {}
if args.tax2track:
tax2track = cPickle.load(open(args.tax2track))
else:
tax2track = {}
print len(tax2track), len(tax2name)
header = ("TargetTree", "Subtrees", "Ndups", "Broken subtrees",
"Broken clades", "Clade sizes", "RF (avg)", "RF (med)",
"RF (std)", "RF (max)", "Shared tips")
print >> OUT, '|'.join([h.ljust(15) for h in header])
if args.ref_tree:
print >> sys.stderr, "Reading ref tree from", args.ref_tree
reft = Tree(args.ref_tree, format=1)
else:
reft = None
SHOW_TREE = False
if args.show_tree or args.render:
SHOW_TREE = True
prev_broken = set()
ENTRIES = []
ncbi.connect_database()
for tfile in target_trees:
#print tfile
t = PhyloTree(tfile, sp_naming_function=None)
if GET_TAXID:
for n in t.iter_leaves():
n.name = GET_TAXID(n.name)
if args.outgroup:
if len(args.outgroup) == 1:
out = t & args.outgroup[0]
else:
out = t.get_common_ancestor(args.outgroup)
if set(out.get_leaf_names()) ^ set(args.outgroup):
raise ValueError("Outgroup is not monophyletic")
t.set_outgroup(out)
t.ladderize()
if prev_tree:
tree_compare(t, prev_tree)
prev_tree = t
if args.tax_info:
tax2name, tax2track = annotate_tree_with_taxa(
t, args.tax_info, tax2name, tax2track)
if args.dump_tax_info:
cPickle.dump(tax2track, open("tax2track.pkl", "w"))
cPickle.dump(tax2name, open("tax2name.pkl", "w"))
print "Tax info written into pickle files"
else:
for n in t.iter_leaves():
spcode = n.name
n.add_features(taxid=spcode)
n.add_features(species=spcode)
tax2name, tax2track = annotate_tree_with_taxa(
t, None, tax2name, tax2track)
# Split tree into species trees
#subtrees = t.get_speciation_trees()
if not args.rf_only:
#print "Calculating tree subparts..."
t1 = time.time()
if not args.is_sptree:
subtrees = t.split_by_dups()
#print "Subparts:", len(subtrees), time.time()-t1
else:
subtrees = [t]
valid_subtrees, broken_subtrees, ncbi_mistakes, broken_branches, total_rf, broken_clades, broken_sizes = analyze_subtrees(
t, subtrees, show_tree=SHOW_TREE)
#print valid_subtrees, broken_subtrees, ncbi_mistakes, total_rf
else:
subtrees = []
valid_subtrees, broken_subtrees, ncbi_mistakes, broken_branches, total_rf, broken_clades, broken_sizes = 0, 0, 0, 0, 0, 0
ndups = 0
nsubtrees = len(subtrees)
rf = 0
rf_max = 0
rf_std = 0
rf_med = 0
common_names = 0
max_size = 0
if reft and len(subtrees) == 1:
rf = t.robinson_foulds(reft, attr_t1="realname")
rf_max = rf[1]
rf = rf[0]
rf_med = rf
elif reft:
#print "Calculating avg RF..."
nsubtrees, ndups, subtrees = t.get_speciation_trees(
map_features=["taxid"])
#print len(subtrees), "Sub-Species-trees found"
avg_rf = []
rf_max = 0.0 # reft.robinson_foulds(reft)[1]
sum_size = 0.0
print nsubtrees, "subtrees", ndups, "duplications"
for ii, subt in enumerate(subtrees):
print "\r%d" % ii,
sys.stdout.flush()
try:
partial_rf = subt.robinson_foulds(reft, attr_t1="taxid")
except ValueError:
pass
else:
sptree_size = len(
set([n.taxid for n in subt.iter_leaves()]))
sum_size += sptree_size
avg_rf.append(
(partial_rf[0] / float(partial_rf[1])) * sptree_size)
common_names = len(partial_rf[3])
max_size = max(max_size, sptree_size)
rf_max = max(rf_max, partial_rf[1])
#print partial_rf[:2]
rf = numpy.sum(avg_rf) / float(sum_size) # Treeko dist
rf_std = numpy.std(avg_rf)
rf_med = numpy.median(avg_rf)
sizes_info = "%0.1f/%0.1f +- %0.1f" % (numpy.mean(broken_sizes),
numpy.median(broken_sizes),
numpy.std(broken_sizes))
iter_values = [
os.path.basename(tfile), nsubtrees, ndups, broken_subtrees,
ncbi_mistakes, broken_branches, sizes_info, rf, rf_med, rf_std,
rf_max, common_names
]
print >> OUT, '|'.join(
map(lambda x: str(x).strip().ljust(15), iter_values))
fixed = sorted([n for n in prev_broken if n not in broken_clades])
new_problems = sorted(broken_clades - prev_broken)
fixed_string = color(', '.join(fixed), "green") if fixed else ""
problems_string = color(', '.join(new_problems),
"red") if new_problems else ""
OUT.write(" Fixed clades: %s\n" % fixed_string) if fixed else None
OUT.write(" New broken: %s\n" %
problems_string) if new_problems else None
prev_broken = broken_clades
ENTRIES.append([
os.path.basename(tfile), nsubtrees, ndups, broken_subtrees,
ncbi_mistakes, broken_branches, sizes_info, fixed_string,
problems_string
])
OUT.flush()
if args.show_tree or args.render:
ts = TreeStyle()
ts.force_topology = True
#ts.tree_width = 500
ts.show_leaf_name = False
ts.layout_fn = ncbi_layout
ts.mode = "r"
t.dist = 0
if args.show_tree:
#if args.hide_monophyletic:
# tax2monophyletic = {}
# n2content = t.get_node2content()
# for node in t.traverse():
# term2count = defaultdict(int)
# for leaf in n2content[node]:
# if leaf.lineage:
# for term in leaf.lineage:
# term2count[term] += 1
# expected_size = len(n2content)
# for term, count in term2count.iteritems():
# if count > 1
print "Showing tree..."
t.show(tree_style=ts)
else:
t.render("img.svg", tree_style=ts, dpi=300)
print "dumping color config"
cPickle.dump(name2color, open("ncbi_colors.pkl", "w"))
if args.dump:
cPickle.dump(t, open("ncbi_analysis.pkl", "w"))
print
print
HEADER = ("TargetTree", "Subtrees", "Ndups", "Broken subtrees",
"Broken clades", "Broken branches", "Clade sizes",
"Fixed Groups", "New Broken Clades")
print_table(ENTRIES, max_col_width=50, row_line=True, header=HEADER)
if args.output:
OUT.close()
import random
from ete_dev import Tree, TreeStyle, NodeStyle, faces, AttrFace, TreeFace
# Tree Style used to render small trees used as leaf faces
small_ts = TreeStyle()
small_ts.show_leaf_name = True
small_ts.scale = 10
def layout(node):
if node.is_leaf():
# Add node name to laef nodes
N = AttrFace("name", fsize=14, fgcolor="black")
faces.add_face_to_node(N, node, 0)
t = Tree()
t.populate(10)
T = TreeFace(t, small_ts)
# Let's make the sphere transparent
T.opacity = 0.8
# And place as a float face over the tree
faces.add_face_to_node(T, node, 1, position="aligned")
# Random tree
t = Tree()
t.populate(20, random_branches=True)
# Some random features in all nodes
for n in t.traverse():
n.add_features(weight=random.randint(0, 50))
import random
from ete_dev import Tree, TreeStyle, NodeStyle, faces, AttrFace, TreeFace
small_ts = TreeStyle()
small_ts.tree_width = 100
small_ts.show_leaf_name = True
def layout(node):
if node.is_leaf():
# Add node name to laef nodes
N = AttrFace("name", fsize=14, fgcolor="black")
faces.add_face_to_node(N, node, 0)
t = Tree()
t.populate(10)
T = TreeFace(t, small_ts)
# Let's make the sphere transparent
T.opacity = 0.8
# And place as a float face over the tree
faces.add_face_to_node(T, node, 1, position="aligned")
# Random tree
t = Tree()
t.populate(20, random_branches=True)
# Some random features in all nodes
for n in t.traverse():
n.add_features(weight=random.randint(0, 50))
# Create an empty TreeStyle
t.add_face(bottom_c0_r0, column=0, position="branch-bottom")
t.add_face(bottom_c0_r1, column=0, position="branch-bottom")
a = t&"a"
a.set_style(NodeStyle())
a.img_style["bgcolor"] = "lightgreen"
b = t&"b"
b.set_style(NodeStyle())
b.img_style["bgcolor"] = "indianred"
c = t&"c"
c.set_style(NodeStyle())
c.img_style["bgcolor"] = "lightblue"
t.set_style(NodeStyle())
t.img_style["bgcolor"] = "lavender"
t.img_style["size"] = 12
for leaf in t.iter_leaves():
leaf.img_style["size"] = 12
leaf.add_face(right_c0_r0, 0, "branch-right")
leaf.add_face(aligned_c0_r1, 0, "aligned")
leaf.add_face(aligned_c0_r0, 0, "aligned")
leaf.add_face(aligned_c1_r1, 1, "aligned")
leaf.add_face(aligned_c1_r0, 1, "aligned")
ts = TreeStyle()
ts.show_scale = False
t.render("face_positions.png", w=800, tree_style=ts)
def layout(node):
if node.is_leaf():
F = faces.PieChartFace([10, 10, 10, 10, 10, 10, 10, 10, 10, 4, 6],
colors=COLOR_SCHEMES["set3"],
width=100,
height=100)
F.border.width = None
F.opacity = 0.8
faces.add_face_to_node(F, node, 0, position="branch-right")
F.background.color = "indianred"
x = faces.TextFace("hola")
faces.add_face_to_node(x, node, 1, position="branch-right")
x.background.color = "blue"
else:
F = faces.BarChartFace([40, 20, 70, 100, 30, 40, 50, 40, 70, 12],
min_value=0,
colors=COLOR_SCHEMES["spectral"])
faces.add_face_to_node(F, node, 0, position="branch-top")
t = Tree()
ts = TreeStyle()
ts.layout_fn = layout
ts.mode = "r"
ts.show_leaf_name = False
t.populate(10)
t.show(tree_style=ts)
def get_example_tree():
t = Tree()
t.populate(10)
# Margins, alignment, border, background and opacity can now be set for any face
rs1 = faces.TextFace("branch-right\nmargins&borders",
fsize=12, fgcolor="#009000")
rs1.margin_top = 10
rs1.margin_bottom = 50
rs1.margin_left = 40
rs1.margin_right = 40
rs1.border.width = 1
rs1.background.color = "lightgreen"
rs1.inner_border.width = 0
rs1.inner_border.line_style = 1
rs1.inner_border.color= "red"
rs1.opacity = 0.6
rs1.hz_align = 2 # 0 left, 1 center, 2 right
rs1.vt_align = 1 # 0 left, 1 center, 2 right
br1 = faces.TextFace("branch-right1", fsize=12, fgcolor="#009000")
br2 = faces.TextFace("branch-right3", fsize=12, fgcolor="#009000")
# New face positions (branch-top and branch-bottom)
bb = faces.TextFace("branch-bottom 1", fsize=8, fgcolor="#909000")
bb2 = faces.TextFace("branch-bottom 2", fsize=8, fgcolor="#909000")
bt = faces.TextFace("branch-top 1", fsize=6, fgcolor="#099000")
# And faces can also be used as headers or foot notes of aligned
# columns
t1 = faces.TextFace("Header Face", fsize=12, fgcolor="#aa0000")
t2 = faces.TextFace("Footer Face", fsize=12, fgcolor="#0000aa")
# Attribute faces can now contain prefix and suffix fixed text
aligned = faces.AttrFace("name", fsize=12, fgcolor="RoyalBlue",
text_prefix="Aligned (", text_suffix=")")
# horizontal and vertical alignment per face
aligned.hz_align = 1 # 0 left, 1 center, 2 right
aligned.vt_align = 1
# Node style handling is no longer limited to layout functions. You
# can now create fixed node styles and use them many times, save them
# or even add them to nodes before drawing (this allows to save and
# reproduce an tree image design)
style = NodeStyle()
style["fgcolor"] = "Gold"
style["shape"] = "square"
style["size"] = 15
style["vt_line_color"] = "#ff0000"
t.set_style(style)
# add a face to the style. This face will be render in any node
# associated to the style.
fixed = faces.TextFace("FIXED branch-right", fsize=11, fgcolor="blue")
t.add_face(fixed, column=1, position="branch-right")
# Bind the precomputed style to the root node
# ETE 2.1 has now support for general image properties
ts = TreeStyle()
# You can add faces to the tree image (without any node
# associated). They will be used as headers and foot notes of the
# aligned columns (aligned faces)
ts.aligned_header.add_face(t1, column = 0)
ts.aligned_header.add_face(t1, 1)
ts.aligned_header.add_face(t1, 2)
ts.aligned_header.add_face(t1, 3)
t1.hz_align = 1 # 0 left, 1 center, 2 right
t1.border.width = 1
ts.aligned_foot.add_face(t2, column = 0)
ts.aligned_foot.add_face(t2, 1)
ts.aligned_foot.add_face(t2, 2)
ts.aligned_foot.add_face(t2, 3)
t2.hz_align = 1
# Set tree image style. Note that aligned header and foot is only
# visible in "rect" mode.
ts.mode = "r"
ts.scale = 10
for node in t.traverse():
# If node is a leaf, add the nodes name and a its scientific
# name
if node.is_leaf():
node.add_face(aligned, column=0, position="aligned")
node.add_face(aligned, column=1, position="aligned")
node.add_face(aligned, column=3, position="aligned")
else:
node.add_face(bt, column=0, position="branch-top")
node.add_face(bb, column=0, position="branch-bottom")
node.add_face(bb2, column=0, position="branch-bottom")
node.add_face(br1, column=0, position="branch-right")
node.add_face(rs1, column=0, position="branch-right")
node.add_face(br2, column=0, position="branch-right")
return t, ts
def get_example_tree():
t = Tree()
t.populate(10)
# Margins, alignment, border, background and opacity can now be set for any face
rs1 = faces.TextFace("branch-right\nmargins&borders",
fsize=12,
fgcolor="#009000")
rs1.margin_top = 10
rs1.margin_bottom = 50
rs1.margin_left = 40
rs1.margin_right = 40
rs1.border.width = 1
rs1.background.color = "lightgreen"
rs1.inner_border.width = 0
rs1.inner_border.line_style = 1
rs1.inner_border.color = "red"
rs1.opacity = 0.6
rs1.hz_align = 2 # 0 left, 1 center, 2 right
rs1.vt_align = 1 # 0 left, 1 center, 2 right
br1 = faces.TextFace("branch-right1", fsize=12, fgcolor="#009000")
br2 = faces.TextFace("branch-right3", fsize=12, fgcolor="#009000")
# New face positions (branch-top and branch-bottom)
bb = faces.TextFace("branch-bottom 1", fsize=8, fgcolor="#909000")
bb2 = faces.TextFace("branch-bottom 2", fsize=8, fgcolor="#909000")
bt = faces.TextFace("branch-top 1", fsize=6, fgcolor="#099000")
# And faces can also be used as headers or foot notes of aligned
# columns
t1 = faces.TextFace("Header Face", fsize=12, fgcolor="#aa0000")
t2 = faces.TextFace("Footer Face", fsize=12, fgcolor="#0000aa")
# Attribute faces can now contain prefix and suffix fixed text
aligned = faces.AttrFace("name",
fsize=12,
fgcolor="RoyalBlue",
text_prefix="Aligned (",
text_suffix=")")
# horizontal and vertical alignment per face
aligned.hz_align = 1 # 0 left, 1 center, 2 right
aligned.vt_align = 1
# Node style handling is no longer limited to layout functions. You
# can now create fixed node styles and use them many times, save them
# or even add them to nodes before drawing (this allows to save and
# reproduce an tree image design)
style = NodeStyle()
style["fgcolor"] = "Gold"
style["shape"] = "square"
style["size"] = 15
style["vt_line_color"] = "#ff0000"
t.set_style(style)
# add a face to the style. This face will be render in any node
# associated to the style.
fixed = faces.TextFace("FIXED branch-right", fsize=11, fgcolor="blue")
t.add_face(fixed, column=1, position="branch-right")
# Bind the precomputed style to the root node
# ETE 2.1 has now support for general image properties
ts = TreeStyle()
# You can add faces to the tree image (without any node
# associated). They will be used as headers and foot notes of the
# aligned columns (aligned faces)
ts.aligned_header.add_face(t1, column=0)
ts.aligned_header.add_face(t1, 1)
ts.aligned_header.add_face(t1, 2)
ts.aligned_header.add_face(t1, 3)
t1.hz_align = 1 # 0 left, 1 center, 2 right
t1.border.width = 1
ts.aligned_foot.add_face(t2, column=0)
ts.aligned_foot.add_face(t2, 1)
ts.aligned_foot.add_face(t2, 2)
ts.aligned_foot.add_face(t2, 3)
t2.hz_align = 1
# Set tree image style. Note that aligned header and foot is only
# visible in "rect" mode.
ts.mode = "r"
ts.scale = 10
for node in t.traverse():
# If node is a leaf, add the nodes name and a its scientific
# name
if node.is_leaf():
node.add_face(aligned, column=0, position="aligned")
node.add_face(aligned, column=1, position="aligned")
node.add_face(aligned, column=3, position="aligned")
else:
node.add_face(bt, column=0, position="branch-top")
node.add_face(bb, column=0, position="branch-bottom")
node.add_face(bb2, column=0, position="branch-bottom")
node.add_face(br1, column=0, position="branch-right")
node.add_face(rs1, column=0, position="branch-right")
node.add_face(br2, column=0, position="branch-right")
return t, ts
node.img_style["vt_line_width"] = 10
if node.is_leaf():
#node.img_style["size"] = random.randint(50, 50)
f = faces.TextFace("alignedFace", fsize=8, fgcolor="blue")
#f = faces.AttrFace("name", fsize=random.randint(20,20))
faces.add_face_to_node(f, node, 0, position="aligned")
f.border.width = 0
#f = faces.CircleFace(20, "red")
#f = faces.AttrFace("name", fsize=20)
f = faces.TextFace("NAME", fsize=10)
#faces.add_face_to_node(f, node, 0, position="branch-right")
f.border.width = 0
#node.img_style["bgcolor"] = random_color()
#Tree().show()
ts = TreeStyle()
ts.mode = "c"
ts.layout_fn = layout
ts.show_leaf_name = False
ts.arc_span = 340
ts.arc_start = -70
#ts.allow_face_overlap = True
#ts.show_branch_length = True
ts.draw_guiding_lines = False
ts.optimal_scale_level = "mid"
ts.extra_branch_line_color = "red"
ts.root_opening_factor = 0.50
ts.show_border = True
ts.scale = None
t = Tree()
t.populate(200, random_branches=True, branch_range=(0, 0))
help="Writes result into a file")
parser.add_argument("--tax2name", dest="tax2name", type=str,
help="")
parser.add_argument("--tax2track", dest="tax2track", type=str,
help="")
parser.add_argument("--dump_tax_info", dest="dump_tax_info", action="store_true",
help="")
args = parser.parse_args()
reftree_name = os.path.basename(args.ref_tree) if args.ref_tree else ""
if args.explore:
print "Reading tree from file:", args.explore
t = cPickle.load(open(args.explore))
ts = TreeStyle()
ts.force_topology = True
ts.show_leaf_name = False
ts.layout_fn = ncbi_layout
ts.mode = "r"
t.show(tree_style=ts)
print "dumping color config"
cPickle.dump(name2color, open("ncbi_colors.pkl", "w"))
sys.exit()
if args.output:
OUT = open(args.output, "w")
else:
OUT = sys.stdout
print "Dumping results into", OUT
from ete_dev import TreeStyle
from ete_dev import EvolTree
from ete_dev import faces
tree = EvolTree ("data/S_example/measuring_S_tree.nw")
tree.link_to_alignment ('data/S_example/alignment_S_measuring_evol.fasta')
print tree
print '\n Running free-ratio model with calculation of ancestral sequences...'
tree.run_model ('fb_anc')
#tree.link_to_evol_model('/tmp/ete2-codeml/fb_anc/out', 'fb_anc')
I = TreeStyle()
I.force_topology = False
I.draw_aligned_faces_as_table = True
I.draw_guiding_lines = True
I.guiding_lines_type = 2
I.guiding_lines_color = "#CCCCCC"
for n in sorted (tree.get_descendants()+[tree],
key=lambda x: x.node_id):
if n.is_leaf(): continue
anc_face = faces.SequenceFace (n.sequence, 'aa', fsize=10, bg_colors={})
I.aligned_foot.add_face(anc_face, 1)
I.aligned_foot.add_face(faces.TextFace('node_id: #%d '%(n.node_id),
fsize=8), 0)
print 'display result of bs_anc model, with ancestral amino acid sequences.'
tree.show(tree_style=I)
def draw(t, draw_alg=True):
def ly(node):
node.img_style['vt_line_width'] = 1
node.img_style['hz_line_width'] = 1
if node.is_leaf():
add_face_to_node(TextFace(
' (%s)' % node.name.split()[0].replace("/exon2", ""),
fsize=10,
fgcolor='slategrey',
tight_text=False),
node,
1,
position='branch-right')
add_face_to_node(TextFace(node.species,
fsize=12,
fgcolor='black',
fstyle='italic',
tight_text=False),
node,
0,
position='branch-right')
c = 1
for tname in tracked_clades:
if tname in node.named_lineage:
linF = TextFace(tname, fsize=10, fgcolor='white')
linF.margin_left = 3
linF.background.color = lin2color[tname]
add_face_to_node(linF, node, c, position='aligned')
c += 1
for n in xrange(1, 20 - (c - 1)):
add_face_to_node(TextFace('', fsize=10, fgcolor='slategrey'),
node,
c,
position='aligned')
c += 1
if draw_alg and 'sequence' in node.features:
#seqFace = SequenceFace(node.sequence,"aa",13)
seqFace = SeqMotifFace(node.sequence, [])
# [10, 100, "[]", None, 10, "black", "rgradient:blue", "arial|8|white|domain Name"],
motifs = []
last_lt = None
for c, lt in enumerate(node.sequence):
if lt != '-':
if last_lt is None:
last_lt = c
if c + 1 == len(node.sequence):
start, end = last_lt, c
w = end - start
motifs.append([
start, end, "[]", w, 13, "slategrey",
"slategrey", None
])
last_lt = None
elif lt == '-':
if last_lt is not None:
start, end = last_lt, c - 1
w = end - start
motifs.append([
start, end, "[]", w, 13, "slategrey",
"slategrey", None
])
last_lt = None
if not motifs:
print node, node.sequence
seqFace = SeqMotifFace(node.sequence,
motifs,
intermotif_format="line",
seqtail_format="line",
scale_factor=1)
add_face_to_node(seqFace, node, 20, aligned=True)
else:
if node.up:
add_face_to_node(TextFace('% 3g' % node.support,
fsize=11,
fgcolor='indianred'),
node,
0,
position='branch-top')
if hasattr(node, "support2") and node.up:
add_face_to_node(TextFace('% 3g' % float(node.support2),
fsize=11,
fgcolor='steelblue'),
node,
0,
position='branch-bottom')
node.img_style['size'] = 0
node.img_style['hz_line_color'] = 'black'
node.img_style['vt_line_color'] = 'black'
colors = random_color(num=len(tracked_clades))
lin2color = dict([(ln, colors[i]) for i, ln in enumerate(tracked_clades)])
ts = TreeStyle()
ts.draw_aligned_faces_as_table = False
ts.draw_guiding_lines = False
ts.show_leaf_name = False
ts.show_branch_support = False
ts.layout_fn = ly
print 'Rendering tree.pdf'
t.render('tree.svg', tree_style=ts)
t.render('tree.png', tree_style=ts)
from ete_dev import TreeStyle
from ete_dev import EvolTree
from ete_dev import faces
tree = EvolTree("data/S_example/measuring_S_tree.nw")
tree.link_to_alignment('data/S_example/alignment_S_measuring_evol.fasta')
print tree
print '\n Running free-ratio model with calculation of ancestral sequences...'
tree.run_model('fb_anc')
#tree.link_to_evol_model('/tmp/ete2-codeml/fb_anc/out', 'fb_anc')
I = TreeStyle()
I.force_topology = False
I.draw_aligned_faces_as_table = True
I.draw_guiding_lines = True
I.guiding_lines_type = 2
I.guiding_lines_color = "#CCCCCC"
for n in sorted(tree.get_descendants() + [tree], key=lambda x: x.node_id):
if n.is_leaf(): continue
anc_face = faces.SequenceFace(n.sequence, 'aa', fsize=10, bg_colors={})
I.aligned_foot.add_face(anc_face, 1)
I.aligned_foot.add_face(
faces.TextFace('node_id: #%d ' % (n.node_id), fsize=8), 0)
print 'display result of bs_anc model, with ancestral amino acid sequences.'
tree.show(tree_style=I)
print '\nThe End.'
help="Writes result into a file")
parser.add_argument("--tax2name", dest="tax2name", type=str, help="")
parser.add_argument("--tax2track", dest="tax2track", type=str, help="")
parser.add_argument("--dump_tax_info",
dest="dump_tax_info",
action="store_true",
help="")
args = parser.parse_args()
reftree_name = os.path.basename(args.ref_tree) if args.ref_tree else ""
if args.explore:
print "Reading tree from file:", args.explore
t = cPickle.load(open(args.explore))
ts = TreeStyle()
ts.force_topology = True
ts.show_leaf_name = False
ts.layout_fn = ncbi_layout
ts.mode = "r"
t.show(tree_style=ts)
print "dumping color config"
cPickle.dump(name2color, open("ncbi_colors.pkl", "w"))
sys.exit()
if args.output:
OUT = open(args.output, "w")
else:
OUT = sys.stdout
print "Dumping results into", OUT
temp_facet = TreeFace(t, ts)
n = main_tree.add_child()
n.add_face(temp_facet, 0, "aligned")
t, ts = seq_motif_faces.get_example_tree()
temp_facet = TreeFace(t, ts)
n = main_tree.add_child()
n.add_face(temp_facet, 0, "aligned")
t, ts = barchart_and_piechart_faces.get_example_tree()
temp_facet = TreeFace(t, ts)
n = main_tree.add_child()
n.add_face(temp_facet, 0, "aligned")
# Test orphan nodes and trees with 0 branch length
t, ts = Tree(), TreeStyle()
t.populate(5)
for n in t.traverse():
n.dist = 0
temp_tface = TreeFace(t, ts)
n = main_tree.add_child()
n.add_face(temp_tface, 0, "aligned")
ts.optimal_scale_level = "full"
temp_tface = TreeFace(t, ts)
n = main_tree.add_child()
n.add_face(temp_tface, 0, "aligned")
ts = TreeStyle()
t.populate(5)
ts.mode = "c"
style1["fgcolor"] = "#0f0f0f"
style1["size"] = 0
style1["vt_line_color"] = "#ff0000"
style1["hz_line_color"] = "#ff0000"
style1["vt_line_width"] = 2
style1["hz_line_width"] = 2
style1["vt_line_type"] = 2 # 0 solid, 1 dashed, 2 dotted
style1["hz_line_type"] = 2
t.children[0].img_style = style1
t.children[1].img_style = style1
# Set dashed blue lines in all leaves
style2 = NodeStyle()
style2["fgcolor"] = "#000000"
style2["shape"] = "circle"
style2["vt_line_color"] = "#0000aa"
style2["hz_line_color"] = "#0000aa"
style2["vt_line_width"] = 2
style2["hz_line_width"] = 2
style2["vt_line_type"] = 1 # 0 solid, 1 dashed, 2 dotted
style2["hz_line_type"] = 1
for l in t.iter_leaves():
l.img_style = style2
ts = TreeStyle()
ts.layout_fn = layout
ts.show_leaf_name = False
t.render("node_style.png", w=400, tree_style=ts)
def main(argv):
parser = argparse.ArgumentParser(description=__DESCRIPTION__,
formatter_class=argparse.RawDescriptionHelpFormatter)
# name or flags - Either a name or a list of option strings, e.g. foo or -f, --foo.
# action - The basic type of action to be taken when this argument is encountered at the command line. (store, store_const, store_true, store_false, append, append_const, version)
# nargs - The number of command-line arguments that should be consumed. (N, ? (one or default), * (all 1 or more), + (more than 1) )
# const - A constant value required by some action and nargs selections.
# default - The value produced if the argument is absent from the command line.
# type - The type to which the command-line argument should be converted.
# choices - A container of the allowable values for the argument.
# required - Whether or not the command-line option may be omitted (optionals only).
# help - A brief description of what the argument does.
# metavar - A name for the argument in usage messages.
# dest - The name of the attribute to be added to the object returned by parse_args().
parser.add_argument("--show", dest="show_tree",
action="store_true",
help="""Display tree after the analysis.""")
parser.add_argument("--render", dest="render",
action="store_true",
help="""Render tree.""")
parser.add_argument("--dump", dest="dump",
action="store_true",
help="""Dump analysis""")
parser.add_argument("--explore", dest="explore",
type=str,
help="""Reads a previously analyzed tree and visualize it""")
input_args = parser.add_mutually_exclusive_group()
input_args.required=True
input_args.add_argument("-t", "--tree", dest="target_tree", nargs="+",
type=str,
help="""Tree file in newick format""")
input_args.add_argument("-tf", dest="tree_list_file",
type=str,
help="File with the list of tree files")
parser.add_argument("--tax", dest="tax_info", type=str,
help="If the taxid attribute is not set in the"
" newick file for all leaf nodes, a tab file file"
" with the translation of name and taxid can be"
" provided with this option.")
parser.add_argument("--sp_delimiter", dest="sp_delimiter", type=str,
help="If taxid is part of the leaf name, delimiter used to split the string")
parser.add_argument("--sp_field", dest="sp_field", type=int, default=0,
help="field position for taxid after splitting leaf names")
parser.add_argument("--ref", dest="ref_tree", type=str,
help="Uses ref tree to compute robinson foulds"
" distances of the different subtrees")
parser.add_argument("--rf-only", dest="rf_only",
action = "store_true",
help="Skip ncbi consensus analysis")
parser.add_argument("--outgroup", dest="outgroup",
type=str, nargs="+",
help="A list of node names defining the trees outgroup")
parser.add_argument("--is_sptree", dest="is_sptree",
action = "store_true",
help="Assumes no duplication nodes in the tree")
parser.add_argument("-o", dest="output", type=str,
help="Writes result into a file")
parser.add_argument("--tax2name", dest="tax2name", type=str,
help="")
parser.add_argument("--tax2track", dest="tax2track", type=str,
help="")
parser.add_argument("--dump_tax_info", dest="dump_tax_info", action="store_true",
help="")
args = parser.parse_args(argv)
if args.sp_delimiter:
GET_TAXID = lambda x: x.split(args.sp_delimiter)[args.sp_field]
else:
GET_TAXID = None
reftree_name = os.path.basename(args.ref_tree) if args.ref_tree else ""
if args.explore:
print >>sys.stderr, "Reading tree from file:", args.explore
t = cPickle.load(open(args.explore))
ts = TreeStyle()
ts.force_topology = True
ts.show_leaf_name = False
ts.layout_fn = ncbi_layout
ts.mode = "r"
t.show(tree_style=ts)
print >>sys.stderr, "dumping color config"
cPickle.dump(name2color, open("ncbi_colors.pkl", "w"))
sys.exit()
if args.output:
OUT = open(args.output, "w")
else:
OUT = sys.stdout
print >>sys.stderr, "Dumping results into", OUT
target_trees = []
if args.tree_list_file:
target_trees = [line.strip() for line in open(args.tree_list_file)]
if args.target_tree:
target_trees += args.target_tree
prev_tree = None
if args.tax2name:
tax2name = cPickle.load(open(args.tax2name))
else:
tax2name = {}
if args.tax2track:
tax2track = cPickle.load(open(args.tax2track))
else:
tax2track = {}
print len(tax2track), len(tax2name)
header = ("TargetTree", "Subtrees", "Ndups", "Broken subtrees", "Broken clades", "Clade sizes", "RF (avg)", "RF (med)", "RF (std)", "RF (max)", "Shared tips")
print >>OUT, '|'.join([h.ljust(15) for h in header])
if args.ref_tree:
print >>sys.stderr, "Reading ref tree from", args.ref_tree
reft = Tree(args.ref_tree, format=1)
else:
reft = None
SHOW_TREE = False
if args.show_tree or args.render:
SHOW_TREE = True
prev_broken = set()
ENTRIES = []
ncbi.connect_database()
for tfile in target_trees:
#print tfile
t = PhyloTree(tfile, sp_naming_function=None)
if GET_TAXID:
for n in t.iter_leaves():
n.name = GET_TAXID(n.name)
if args.outgroup:
if len(args.outgroup) == 1:
out = t & args.outgroup[0]
else:
out = t.get_common_ancestor(args.outgroup)
if set(out.get_leaf_names()) ^ set(args.outgroup):
raise ValueError("Outgroup is not monophyletic")
t.set_outgroup(out)
t.ladderize()
if prev_tree:
tree_compare(t, prev_tree)
prev_tree = t
if args.tax_info:
tax2name, tax2track = annotate_tree_with_taxa(t, args.tax_info, tax2name, tax2track)
if args.dump_tax_info:
cPickle.dump(tax2track, open("tax2track.pkl", "w"))
cPickle.dump(tax2name, open("tax2name.pkl", "w"))
print "Tax info written into pickle files"
else:
for n in t.iter_leaves():
spcode = n.name
n.add_features(taxid=spcode)
n.add_features(species=spcode)
tax2name, tax2track = annotate_tree_with_taxa(t, None, tax2name, tax2track)
# Split tree into species trees
#subtrees = t.get_speciation_trees()
if not args.rf_only:
#print "Calculating tree subparts..."
t1 = time.time()
if not args.is_sptree:
subtrees = t.split_by_dups()
#print "Subparts:", len(subtrees), time.time()-t1
else:
subtrees = [t]
valid_subtrees, broken_subtrees, ncbi_mistakes, broken_branches, total_rf, broken_clades, broken_sizes = analyze_subtrees(t, subtrees, show_tree=SHOW_TREE)
#print valid_subtrees, broken_subtrees, ncbi_mistakes, total_rf
else:
subtrees = []
valid_subtrees, broken_subtrees, ncbi_mistakes, broken_branches, total_rf, broken_clades, broken_sizes = 0, 0, 0, 0, 0, 0
ndups = 0
nsubtrees = len(subtrees)
rf = 0
rf_max = 0
rf_std = 0
rf_med = 0
common_names = 0
max_size = 0
if reft and len(subtrees) == 1:
rf = t.robinson_foulds(reft, attr_t1="realname")
rf_max = rf[1]
rf = rf[0]
rf_med = rf
elif reft:
#print "Calculating avg RF..."
nsubtrees, ndups, subtrees = t.get_speciation_trees(map_features=["taxid"])
#print len(subtrees), "Sub-Species-trees found"
avg_rf = []
rf_max = 0.0 # reft.robinson_foulds(reft)[1]
sum_size = 0.0
print nsubtrees, "subtrees", ndups, "duplications"
for ii, subt in enumerate(subtrees):
print "\r%d" %ii,
sys.stdout.flush()
try:
partial_rf = subt.robinson_foulds(reft, attr_t1="taxid")
except ValueError:
pass
else:
sptree_size = len(set([n.taxid for n in subt.iter_leaves()]))
sum_size += sptree_size
avg_rf.append((partial_rf[0]/float(partial_rf[1])) * sptree_size)
common_names = len(partial_rf[3])
max_size = max(max_size, sptree_size)
rf_max = max(rf_max, partial_rf[1])
#print partial_rf[:2]
rf = numpy.sum(avg_rf) / float(sum_size) # Treeko dist
rf_std = numpy.std(avg_rf)
rf_med = numpy.median(avg_rf)
sizes_info = "%0.1f/%0.1f +- %0.1f" %( numpy.mean(broken_sizes), numpy.median(broken_sizes), numpy.std(broken_sizes))
iter_values = [os.path.basename(tfile), nsubtrees, ndups,
broken_subtrees, ncbi_mistakes, broken_branches, sizes_info, rf, rf_med,
rf_std, rf_max, common_names]
print >>OUT, '|'.join(map(lambda x: str(x).strip().ljust(15), iter_values))
fixed = sorted([n for n in prev_broken if n not in broken_clades])
new_problems = sorted(broken_clades - prev_broken)
fixed_string = color(', '.join(fixed), "green") if fixed else ""
problems_string = color(', '.join(new_problems), "red") if new_problems else ""
OUT.write(" Fixed clades: %s\n" %fixed_string) if fixed else None
OUT.write(" New broken: %s\n" %problems_string) if new_problems else None
prev_broken = broken_clades
ENTRIES.append([os.path.basename(tfile), nsubtrees, ndups,
broken_subtrees, ncbi_mistakes, broken_branches, sizes_info, fixed_string, problems_string])
OUT.flush()
if args.show_tree or args.render:
ts = TreeStyle()
ts.force_topology = True
#ts.tree_width = 500
ts.show_leaf_name = False
ts.layout_fn = ncbi_layout
ts.mode = "r"
t.dist = 0
if args.show_tree:
#if args.hide_monophyletic:
# tax2monophyletic = {}
# n2content = t.get_node2content()
# for node in t.traverse():
# term2count = defaultdict(int)
# for leaf in n2content[node]:
# if leaf.lineage:
# for term in leaf.lineage:
# term2count[term] += 1
# expected_size = len(n2content)
# for term, count in term2count.iteritems():
# if count > 1
print "Showing tree..."
t.show(tree_style=ts)
else:
t.render("img.svg", tree_style=ts, dpi=300)
print "dumping color config"
cPickle.dump(name2color, open("ncbi_colors.pkl", "w"))
if args.dump:
cPickle.dump(t, open("ncbi_analysis.pkl", "w"))
print
print
HEADER = ("TargetTree", "Subtrees", "Ndups", "Broken subtrees", "Broken clades", "Broken branches", "Clade sizes", "Fixed Groups", "New Broken Clades")
print_table(ENTRIES, max_col_width = 50, row_line=True, header=HEADER)
if args.output:
OUT.close()
# Center text according to masterItem size
tw = text.boundingRect().width()
th = text.boundingRect().height()
center = masterItem.boundingRect().center()
text.setPos(center.x()-tw/2, center.y()-th/2)
return masterItem
def master_ly(node):
if node.is_leaf():
# Create an ItemFAce. First argument must be the pointer to
# the constructor function that returns a QGraphicsItem. It
# will be used to draw the Face. Next arguments are arbitrary,
# and they will be forwarded to the constructor Face function.
F = faces.DynamicItemFace(ugly_name_face, 100, 50)
faces.add_face_to_node(F, node, 0, position="aligned")
t = Tree()
t.populate(8, reuse_names=False)
ts = TreeStyle()
ts.layout_fn = master_ly
ts.title.add_face(faces.TextFace("Drawing your own Qt Faces", fsize=15), 0)
t.render("item_faces.png", h=400, tree_style=ts)
# The interactive features are only available using the GUI
t.show(tree_style=ts)
col += 1
# Add the corresponding face to the node
if name.startswith("Dme"):
faces.add_face_to_node(flyFace, node, column=col)
elif name.startswith("Dre"):
faces.add_face_to_node(fishFace, node, column=col)
elif name.startswith("Mms"):
faces.add_face_to_node(mouseFace, node, column=col)
elif name.startswith("Ptr"):
faces.add_face_to_node(chimpFace, node, column=col)
elif name.startswith("Hsa"):
faces.add_face_to_node(humanFace, node, column=col)
elif name.startswith("Cfa"):
faces.add_face_to_node(dogFace, node, column=col)
# Modifies this node's style
node.img_style["size"] = 16
node.img_style["shape"] = "sphere"
node.img_style["fgcolor"] = "#AA0000"
# If leaf is "Hsa" (h**o sapiens), highlight it using a
# different background.
if node.is_leaf() and node.name.startswith("Hsa"):
node.img_style["bgcolor"] = "#9db0cf"
# And, finally, Visualize the tree using my own layout function
ts = TreeStyle()
ts.layout_fn = mylayout
t.render("img_faces.png", w=600, tree_style=ts)
# access the display. If the X server is started by a different user
# and www-data (usally the apache user) cannot access display, try
# modifiying DISPLAY permisions by executing "xhost +"
application.CONFIG["DISPLAY"] = ":0" # This is the most common
# configuration
# We extend the minimum WebTreeApplication with our own WSGI
# application
application.set_external_app_handler(example_app)
# Lets now apply our custom tree loader function to the main
# application
application.set_tree_loader(my_tree_loader)
# And our layout as the default one to render trees
ts = TreeStyle()
ts.show_leaf_name = False
ts.layout_fn.append(main_layout)
ts.mode = "r"
ts.branch_vertical_margin = 5
#ts.scale = 20
application.set_tree_style(ts)
#application.set_default_layout_fn(main_layout)
application.set_tree_size(None, None)
# I want to make up how tree image in shown using a custrom tree
# renderer that adds much more HTML code
application.set_external_tree_renderer(tree_renderer)
# ==============================================================================
# ADD CUSTOM ACTIONS TO THE APPLICATION
def ncbi_consensus(self, ):
nsubtrees, ndups, subtrees = self.get_speciation_trees(map_features=["taxid"])
valid_subtrees, broken_subtrees, ncbi_mistakes, broken_branches, total_rf, broken_clades, broken_sizes = analyze_subtrees(t, subtrees, show_tree=SHOW_TREE)
avg_rf = []
rf_max = 0.0 # reft.robinson_foulds(reft)[1]
sum_size = 0.0
#reftree =
for tn, subt in enumerate(subtrees):
partial_rf = subt.robinson_foulds(reft, attr_t1="taxid")
sptree_size = len(set([n.taxid for n in subt.iter_leaves()]))
sum_size += sptree_size
avg_rf.append((partial_rf[0]/float(partial_rf[1])) * sptree_size)
common_names = len(partial_rf[3])
max_size = max(max_size, sptree_size)
rf_max = max(rf_max, partial_rf[1])
rf = numpy.sum(avg_rf) / float(sum_size) # Treeko dist
rf_std = numpy.std(avg_rf)
rf_med = numpy.median(avg_rf)
sizes_info = "%0.1f/%0.1f +- %0.1f" %( numpy.mean(broken_sizes), numpy.median(broken_sizes), numpy.std(broken_sizes))
iter_values = [os.path.basename(tfile), nsubtrees, ndups,
broken_subtrees, ncbi_mistakes, broken_branches, sizes_info, rf, rf_med,
rf_std, rf_max, common_names]
print >>OUT, '|'.join(map(lambda x: str(x).strip().ljust(15), iter_values))
fixed = sorted([n for n in prev_broken if n not in broken_clades])
new_problems = sorted(broken_clades - prev_broken)
fixed_string = color(', '.join(fixed), "green") if fixed else ""
problems_string = color(', '.join(new_problems), "red") if new_problems else ""
OUT.write(" Fixed clades: %s\n" %fixed_string) if fixed else None
OUT.write(" New broken: %s\n" %problems_string) if new_problems else None
prev_broken = broken_clades
ENTRIES.append([os.path.basename(tfile), nsubtrees, ndups,
broken_subtrees, ncbi_mistakes, broken_branches, sizes_info, fixed_string, problems_string])
OUT.flush()
if args.show_tree or args.render:
ts = TreeStyle()
ts.force_topology = True
#ts.tree_width = 500
ts.show_leaf_name = False
ts.layout_fn = ncbi_layout
ts.mode = "r"
t.dist = 0
if args.show_tree:
#if args.hide_monophyletic:
# tax2monophyletic = {}
# n2content = t.get_node2content()
# for node in t.traverse():
# term2count = defaultdict(int)
# for leaf in n2content[node]:
# if leaf.lineage:
# for term in leaf.lineage:
# term2count[term] += 1
# expected_size = len(n2content)
# for term, count in term2count.iteritems():
# if count > 1
print "Showing tree..."
t.show(tree_style=ts)
else:
t.render("img.svg", tree_style=ts, dpi=300)
print "dumping color config"
cPickle.dump(name2color, open("ncbi_colors.pkl", "w"))
if args.dump:
cPickle.dump(t, open("ncbi_analysis.pkl", "w"))
# access the display. If the X server is started by a different user # and www-data (usally the apache user) cannot access display, try # modifiying DISPLAY permisions by executing "xhost +" application.CONFIG["DISPLAY"] = ":0" # This is the most common # configuration # We extend the minimum WebTreeApplication with our own WSGI # application application.set_external_app_handler(example_app) # Lets now apply our custom tree loader function to the main # application application.set_tree_loader(my_tree_loader) # And our layout as the default one to render trees ts = TreeStyle() ts.show_leaf_name = False ts.layout_fn.append(main_layout) ts.mode = "r" ts.branch_vertical_margin = 5 #ts.scale = 20 application.set_tree_style(ts) #application.set_default_layout_fn(main_layout) application.set_tree_size(None, None) # I want to make up how tree image in shown using a custrom tree # renderer that adds much more HTML code application.set_external_tree_renderer(tree_renderer) # ============================================================================== # ADD CUSTOM ACTIONS TO THE APPLICATION #
node.img_style["bgcolor"] = "LightCyan"
if "improve" in node.features:
color = "orange" if float(node.improve) < 0 else "green"
if float(node.improve) == 0:
color = "blue"
support_face = faces.CircleFace(200, color)
faces.add_face_to_node(support_face, node, 0, position="float-behind")
try:
from ete_dev import TreeStyle, NodeStyle, faces
from ete_dev.treeview import random_color
NPR_TREE_STYLE = TreeStyle()
NPR_TREE_STYLE.layout_fn = npr_layout
NPR_TREE_STYLE.show_leaf_name = False
except ImportError:
TreeStyle, NodeStyle, faces, random_color = [None] * 4
NPR_TREE_STYLE = None
# CONVERT shell colors to the same curses palette
COLORS = {
"wr": "\033[1;37;41m", # white on red
"wo": "\033[1;37;43m", # white on orange
"wm": "\033[1;37;45m", # white on magenta
"wb": "\033[1;37;46m", # white on blue
"bw": "\033[1;37;40m", # black on white
"lblue": "\033[1;34m", # light blue
def draw(t, draw_alg=True):
def ly(node):
node.img_style['vt_line_width'] = 1
node.img_style['hz_line_width'] = 1
if node.is_leaf():
add_face_to_node(TextFace(' (%s)' %node.name.split()[0].replace("/exon2", ""), fsize=10, fgcolor='slategrey', tight_text=False), node, 1, position='branch-right')
add_face_to_node(TextFace(node.species, fsize=12, fgcolor='black', fstyle='italic', tight_text=False), node, 0, position='branch-right')
c = 1
for tname in tracked_clades:
if tname in node.named_lineage:
linF = TextFace(tname, fsize=10, fgcolor='white')
linF.margin_left = 3
linF.background.color = lin2color[tname]
add_face_to_node(linF, node, c, position='aligned')
c += 1
for n in xrange(1, 20-(c-1)):
add_face_to_node(TextFace('', fsize=10, fgcolor='slategrey'), node, c, position='aligned')
c+=1
if draw_alg and 'sequence' in node.features:
#seqFace = SequenceFace(node.sequence,"aa",13)
seqFace = SeqMotifFace(node.sequence, [])
# [10, 100, "[]", None, 10, "black", "rgradient:blue", "arial|8|white|domain Name"],
motifs = []
last_lt = None
for c, lt in enumerate(node.sequence):
if lt != '-':
if last_lt is None:
last_lt = c
if c+1 == len(node.sequence):
start, end = last_lt, c
w = end-start
motifs.append([start, end, "[]", w, 13, "slategrey", "slategrey", None])
last_lt = None
elif lt == '-':
if last_lt is not None:
start, end = last_lt, c-1
w = end-start
motifs.append([start, end, "[]", w, 13, "slategrey", "slategrey", None])
last_lt = None
if not motifs:
print node, node.sequence
seqFace = SeqMotifFace(node.sequence, motifs,
intermotif_format="line",
seqtail_format="line", scale_factor=1)
add_face_to_node(seqFace, node, 20, aligned=True)
else:
if node.up:
add_face_to_node(TextFace('% 3g' %node.support, fsize=11, fgcolor='indianred'), node, 0, position='branch-top')
if hasattr(node, "support2") and node.up:
add_face_to_node(TextFace('% 3g' %float(node.support2), fsize=11, fgcolor='steelblue'), node, 0, position='branch-bottom')
node.img_style['size'] = 0
node.img_style['hz_line_color'] = 'black'
node.img_style['vt_line_color'] = 'black'
colors = random_color(num=len(tracked_clades))
lin2color = dict([(ln, colors[i]) for i, ln in enumerate(tracked_clades)])
ts = TreeStyle()
ts.draw_aligned_faces_as_table = False
ts.draw_guiding_lines = False
ts.show_leaf_name = False
ts.show_branch_support = False
ts.layout_fn = ly
print 'Rendering tree.pdf'
t.render('tree.svg', tree_style=ts)
t.render('tree.png', tree_style=ts)
faces.add_face_to_node(f, node, 0, position="branch-bottom")
#f = faces.PieChartFace([100], node.size[0]*3, node.size[0]*3, ["blue"])
#faces.add_face_to_node(f, node, 0, position="branch-right")
f.border.width = 0
node.img_style["size"] = 10
node.img_style["shape"] = "square"
node.img_style["bgcolor"] = random_color()
node.img_style["hz_line_width"] = 0
node.img_style["vt_line_width"] = 0
#if node.is_leaf():
# f = faces.CircleFace(50, "red")
# faces.add_face_to_node(f, node, 0, position="aligned")
ts = TreeStyle()
ts.mode = "c"
ts.arc_span = 360
ts.layout_fn = layout
ts.show_leaf_name = False
ts.show_border = True
ts.draw_guiding_lines = False
ts.show_scale = True
#ts.scale = 60
t = Tree()
t.dist = 0
t.size = 0, 0
for x in xrange(100):
n = t.add_child()
n = n.add_child()
GAC GCA CGG TGG CAC AAC GTA AAA TTA AGA TGT GAA TTG AGA ACT CTG AAA AAA
TTG GGA CTG GTC GGC TTC AAG GCA GTA AGT CAA TTC GTA ATA CGT CGT GCG
>Chimp
CAC GCC CGA TGG CTC AAC GAA AAG TTA AGA TGC GAA TTG AGA ACT CTG AAA AAA
TTG GGA CTG GAC GGC TAC AAG GCA GTA AGT CAG TAC GTT AAA GGT CGT GCG
>Orangutan
GAT GCA CGC TGG ATC AAC GAA AAG TTA AGA TGC GTA TCG AGA ACT CTG AAA AAA
TTG GGA CTG GAC GGC TAC AAG GGA GTA AGT CAA TAC GTT AAA GGT CGT CCG
""")
#try:
# tree.run_model("fb")
# tree.run_model("M2")
#except:
# pass
tree.dist = 0
ts = TreeStyle()
ts.title.add_face(TextFace(
"Example for EvolTree, interactivity shows codons", fsize=15),
column=0)
ts.layout_fn = test_layout_evol
#try:
# tree.show(tree_style=ts, histfaces=["M2"])
#except:
tree.show(tree_style=ts)
except:
tree = PhyloTree('(Orangutan,Human,Chimp);')
tree.link_to_alignment("""
>Chimp
HARWLNEKLRCELRTLKKLGLDGYKAVSQYVKGRA
>Orangutan
DARWINEKLRCVSRTLKKLGLDGYKGVSQYVKGRP
import random
from ete_dev import Tree, TreeStyle, NodeStyle, faces, AttrFace, TreeFace
# Tree Style used to render small trees used as leaf faces
small_ts = TreeStyle()
small_ts.show_leaf_name = True
small_ts.scale = 10
def layout(node):
if node.is_leaf():
# Add node name to laef nodes
N = AttrFace("name", fsize=14, fgcolor="black")
faces.add_face_to_node(N, node, 0)
t = Tree()
t.populate(10)
T = TreeFace(t, small_ts)
# Let's make the sphere transparent
T.opacity = 0.8
# And place as a float face over the tree
faces.add_face_to_node(T, node, 1, position="aligned")
def get_example_tree():
# Random tree
t = Tree()
t.populate(20, random_branches=True)
# Some random features in all nodes
for n in t.traverse():
n.add_features(weight=random.randint(0, 50))
import random
from ete_dev import Tree, TreeStyle, NodeStyle, faces, AttrFace, TreeFace
# Tree Style used to render small trees used as leaf faces
small_ts = TreeStyle()
small_ts.show_leaf_name = True
small_ts.scale = 10
def layout(node):
if node.is_leaf():
# Add node name to laef nodes
N = AttrFace("name", fsize=14, fgcolor="black")
faces.add_face_to_node(N, node, 0)
t = Tree()
t.populate(10)
T = TreeFace(t, small_ts)
# Let's make the sphere transparent
T.opacity = 0.8
# And place as a float face over the tree
faces.add_face_to_node(T, node, 1, position="aligned")
# Random tree
t = Tree()
t.populate(20, random_branches=True)
# Some random features in all nodes
for n in t.traverse():
def ncbi_consensus(self, ):
nsubtrees, ndups, subtrees = self.get_speciation_trees(
map_features=["taxid"])
valid_subtrees, broken_subtrees, ncbi_mistakes, broken_branches, total_rf, broken_clades, broken_sizes = analyze_subtrees(
t, subtrees, show_tree=SHOW_TREE)
avg_rf = []
rf_max = 0.0 # reft.robinson_foulds(reft)[1]
sum_size = 0.0
#reftree =
for tn, subt in enumerate(subtrees):
partial_rf = subt.robinson_foulds(reft, attr_t1="taxid")
sptree_size = len(set([n.taxid for n in subt.iter_leaves()]))
sum_size += sptree_size
avg_rf.append((partial_rf[0] / float(partial_rf[1])) * sptree_size)
common_names = len(partial_rf[3])
max_size = max(max_size, sptree_size)
rf_max = max(rf_max, partial_rf[1])
rf = numpy.sum(avg_rf) / float(sum_size) # Treeko dist
rf_std = numpy.std(avg_rf)
rf_med = numpy.median(avg_rf)
sizes_info = "%0.1f/%0.1f +- %0.1f" % (numpy.mean(broken_sizes),
numpy.median(broken_sizes),
numpy.std(broken_sizes))
iter_values = [
os.path.basename(tfile), nsubtrees, ndups, broken_subtrees,
ncbi_mistakes, broken_branches, sizes_info, rf, rf_med, rf_std,
rf_max, common_names
]
print >> OUT, '|'.join(
map(lambda x: str(x).strip().ljust(15), iter_values))
fixed = sorted([n for n in prev_broken if n not in broken_clades])
new_problems = sorted(broken_clades - prev_broken)
fixed_string = color(', '.join(fixed), "green") if fixed else ""
problems_string = color(', '.join(new_problems),
"red") if new_problems else ""
OUT.write(" Fixed clades: %s\n" % fixed_string) if fixed else None
OUT.write(" New broken: %s\n" %
problems_string) if new_problems else None
prev_broken = broken_clades
ENTRIES.append([
os.path.basename(tfile), nsubtrees, ndups, broken_subtrees,
ncbi_mistakes, broken_branches, sizes_info, fixed_string,
problems_string
])
OUT.flush()
if args.show_tree or args.render:
ts = TreeStyle()
ts.force_topology = True
#ts.tree_width = 500
ts.show_leaf_name = False
ts.layout_fn = ncbi_layout
ts.mode = "r"
t.dist = 0
if args.show_tree:
#if args.hide_monophyletic:
# tax2monophyletic = {}
# n2content = t.get_node2content()
# for node in t.traverse():
# term2count = defaultdict(int)
# for leaf in n2content[node]:
# if leaf.lineage:
# for term in leaf.lineage:
# term2count[term] += 1
# expected_size = len(n2content)
# for term, count in term2count.iteritems():
# if count > 1
print "Showing tree..."
t.show(tree_style=ts)
else:
t.render("img.svg", tree_style=ts, dpi=300)
print "dumping color config"
cPickle.dump(name2color, open("ncbi_colors.pkl", "w"))
if args.dump:
cPickle.dump(t, open("ncbi_analysis.pkl", "w"))
