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))));'
t = PhyloTree(gene_tree_nw)
ts = TreeStyle()
# disable default PhyloTree Layout
ts.layout_fn = lambda x: True
t.link_to_alignment(alg)
node2content = t.get_cached_content()
for node in t.traverse():
node.img_style["size"] = 0
if not node.is_leaf():
leaves = node2content[node]
# get columns with different aa
subseqs, relevant_columns = mutation_columns([lf.sequence for lf in leaves])
for seq in subseqs:
f = SeqMotifFace(seq, seq_format="seq", width=10, height=8)
f.margin_top = 2
f.margin_right = 6
node.add_face(f, column=0, position="branch-bottom")
for j, col in enumerate(relevant_columns):
col_f = RectFace(10, 10, fgcolor=None, bgcolor=None,
label={"text":str(col), "fonttype":"Courier", "color":"black", "fontsize":6})
node.add_face(col_f, column=j, position="branch-top")
col_f.margin_bottom = 2
else:
f = SeqMotifFace(node.sequence, seq_format="seq", width=6)
node.add_face(f, column=0, position="aligned")
alg_length = len(lf.sequence)
ts.draw_aligned_faces_as_table = False
for colnum in xrange(alg_length):
col_f = RectFace(10, 10, fgcolor=None, bgcolor=None,
label={"text":str(colnum), "fonttype":"Courier", "color":"black", "fontsize":6})
ts.aligned_header.add_face(col_f, column=colnum)
return t, ts
def nodeLayoutFunc(node):
taxid = int(node.name)
if taxid in taxidsToKeep:
taxGroupName = ncbiTaxa.get_taxid_translator(
[taxid]
)[taxid] # There has to be an easier way to look up names...
row = None
rangeRows = None
print(len(ranges))
if (len(ranges) == 1):
row = df[(df['ExplanatoryVar'] == var)
& (df['TaxGroup'] == taxid) &
(df['Range'] == ranges[0])]
assert (len(row) == len(ranges))
elif len(ranges) > 1:
row = df[(df['ExplanatoryVar'] == var)
& (df['TaxGroup'] == taxid) &
(df['Range'] == 0)]
assert (len(row) == 1)
rangeRows = df[(df['ExplanatoryVar'] == var)
& (df['TaxGroup'] == taxid) &
(df['Range'].isin(set(ranges)))]
else:
assert (False)
overallPval = float(row['Pvalue'].values[0])
name = TextFace("%s" % taxGroupName,
fsize=baseFontSize * 2.5)
name.tight_text = True
name.margin_left = 20
name.margin_right = 0
name.margin_top = 40
name.margin_bottom = 12
faces.add_face_to_node(name, node, column=0)
#print(rangeRows)
# For each range to be included in this plot, add a bar
for rangeId in ranges:
#print("rangeId = %s" % (rangeId))
rowForThisRange = None
if len(ranges) == 1:
rowForThisRange = row
else:
rowForThisRange = rangeRows[rangeRows['Range'] ==
rangeId]
assert (len(rowForThisRange) == 1)
# Extract p-value and "effect-size" (signed R^2)
effectSize = float(
rowForThisRange['EffectSize'].values[0])
pval = float(rowForThisRange['Pvalue'].values[0])
# Set bar-graph color and significance markers
barColor = ""
significanceMarker = ""
if (pval < significanceLevel):
significanceMarker = " %s" % unichr(0x2731)
if effectSize < 0:
barColor = "#1133ff"
else:
barColor = "#ff3311"
else: # not significant
if effectSize < 0:
barColor = "#b0b0f0"
else:
barColor = "#ccb090"
# Add the minus sign if needed
signChar = ""
if effectSize < 0:
signChar = unichr(
0x2212
) # minus sign (more legible than a hypen...)
v = RectFace(width=abs(effectSize) * barScale,
height=baseFontSize * 3.5,
fgcolor=barColor,
bgcolor=barColor,
label={
"text":
"%s%.2g %s" %
(signChar, abs(effectSize),
significanceMarker),
"fontsize":
baseFontSize * 1.8,
"color":
"black"
})
#v.rotation = -90
v.margin_top = 1
v.margin_left = 30
v.margin_right = 8
v.margin_bottom = 12
faces.add_face_to_node(v, node, column=0)
details = TextFace(
"N=%d" % row['NumSpecies'], fsize=baseFontSize *
1.5) #, fsize=baseFontSize) #, fstyle="italic")
details.background.color = "#dfdfdf"
details.margin_left = 6
details.margin_right = 20
#details.margin_top=5
#details.margin_bottom=0
faces.add_face_to_node(details, node, column=1)
nstyle = NodeStyle()
nstyle["size"] = 0
node.set_style(nstyle)