Beispiel #1
0
def make_cluster_tree(tree_file: str,
                      matrix: str,
                      out_file: str,
                      outgroup: Optional[List[str]] = None) -> None:
    """Draw a tree with cluster absence/presence information from an existing
    tree file and absence/presence matrix, and save it as an image under the
    supplied file name.

    Arguments:
        tree_file: the name of the file containing the tree to annotate
        matrix:    a comma- or tab-separated absence/presence matrix
        out_file:  the name under which to save the resulting image
        outgroup:  the organism(s) to use as an outgroup, if any
    """
    # ClusterTree needs tab-separated, but that can't be exported cleanly
    matrix = matrix.replace(",", "\t")
    # tree with clustering analysis
    tree = ClusterTree(tree_file, text_array=matrix)

    # rerooting the tree
    if outgroup:
        ancestor = tree.get_common_ancestor(outgroup)
        tree.set_outgroup(ancestor)
        tree.ladderize(direction=1)

    # set drawing line width to 2
    my_node_style = NodeStyle()
    my_node_style["vt_line_width"] = 2
    my_node_style["hz_line_width"] = 2
    my_node_style["size"] = 5

    # layout function
    def sel_mylayout(node):
        node.set_style(my_node_style)

        if node.is_leaf():
            # add names in larger font + italics
            species_name = AttrFace("name", fsize=12, fstyle="italic")
            add_face_to_node(species_name,
                             node,
                             column=0,
                             position="branch-right")
            # add absence/presence matrix
            for i, value in enumerate(getattr(node, "profile", [])):
                if value > 0:
                    color = "#FF0000"
                else:
                    color = "#EEEEEE"
                my_face = CircleFace(8, color, style="circle")
                my_face.margin_right = 3
                my_face.margin_bottom = 3
                add_face_to_node(my_face, node, position="aligned", column=i)

    # Use my layout to visualize the tree
    my_tree_style = TreeStyle()

    # Add header
    for j, name in enumerate(tree.arraytable.colNames):
        name_face = TextFace(name, fsize=11)
        name_face.rotation = -90
        name_face.hz_align = 1
        name_face.vt_align = 1
        name_face.margin_bottom = 10
        my_tree_style.aligned_header.add_face(name_face, column=j)

    my_tree_style.scale_length = 0.1
    # myTreeStyle.show_branch_support = True
    # don't auto-show leaf names, since we dealt with that above
    my_tree_style.show_leaf_name = False

    # set layout function for my_tree_style
    my_tree_style.layout_fn = sel_mylayout

    #tree.render(out_file, w=183, units="mm", dpi=600, tree_style=my_tree_style)
    tree.render(out_file, dpi=600, tree_style=my_tree_style)
Beispiel #2
0
def plot_heat_tree_V0(heatmap_file, tree_file, output_file=None):
    '''
    Plot heatmap next to a tree. The order of the heatmap **MUST** be the same,
    as order of the leafs on the tree. The tree must be in the Newick format. If
    *output_file* is specified, then heat-tree will be rendered as a PNG,
    otherwise interactive browser will pop-up with your heat-tree.

    Parameters
    ----------
    heatmap_file: str
        Path to the heatmap file. The first row must have '#Names' as first
        element of the header.
            e.g. #Names, A, B, C, D
                row1, 2, 4, 0, 4
                row2, 4, 6, 2, -1

    tree_file: str
        Path to the tree file in Newick format. The leaf node labels should
        be the same as as row names in the heatmap file. E.g. row1, row2.

    output_file: str, optional
        If specified the heat-tree will be rendered in that file as a PNG image,
        otherwise interactive browser will pop-up. **N.B.** program will wait
        for you to exit the browser before continuing.
    '''
    import numpy

    from ete3.treeview.faces import add_face_to_node
    from ete3 import ClusterTree, TreeStyle, AttrFace, ProfileFace

    # To operate with numbers efficiently

    # Loads tree and array
    t = ClusterTree(tree_file, heatmap_file)
    t.ladderize()
    R = t.get_midpoint_outgroup()
    t.set_outgroup(R)
    # nodes are linked to the array table
    array = t.arraytable

    # Calculates some stats on the matrix. Needed to establish the color
    # gradients.
    matrix_dist = [i for r in xrange(len(array.matrix))\
                   for i in array.matrix[r] if numpy.isfinite(i)]
    matrix_max = numpy.max(matrix_dist)
    matrix_min = numpy.min(matrix_dist)
    matrix_avg = matrix_min + ((matrix_max - matrix_min) / 2)

    # Creates a profile face that will represent node's profile as a
    # heatmap
    profileFace = ProfileFace(1., 0., 0.5, 1000, 14, "heatmap", colorscheme=1)

    nameFace = AttrFace("name", fsize=8)

    # Creates my own layout function that uses previous faces
    def mylayout(node):
        # If node is a leaf
        if node.is_leaf():
            # And a line profile
            add_face_to_node(profileFace, node, 0, aligned=True)
            node.img_style["size"] = 0
            add_face_to_node(nameFace, node, 1, aligned=True)

    # Use my layout to visualize the tree
    ts = TreeStyle()
    ts.layout_fn = mylayout
    t.render("test.svg", tree_style=ts)
    '''