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导入需要的库和模块。
import dendropy
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定义一个函数,将该函数命名为“add_inner_node”。
def add_inner_node(node1, node2):
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获取需要添加内部节点的两个节点的距离和相对位置。
distance = node1.edge_length + node2.edge_length
relative_position = node1.edge_length / distance
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创建新的内部节点。
inner_node = dendropy.Node()
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将内部节点添加到节点列表中,并设置其父节点。
node1.parent_node = inner_node
inner_node.add_child(node1)
inner_node.add_child(node2)
node2.parent_node = inner_node
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更新新节点的长度。
inner_node.edge_length = distance / 2
node1.edge_length = inner_node.edge_length * relative_position
node2.edge_length = inner_node.edge_length * (1 - relative_position)
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返回内部节点。
return inner_node
完整代码示例:
import dendropy
def add_inner_node(node1, node2):
distance = node1.edge_length + node2.edge_length
relative_position = node1.edge_length / distance
inner_node = dendropy.Node()
node1.parent_node = inner_node
inner_node.add_child(node1)
inner_node.add_child(node2)
node2.parent_node = inner_node
inner_node.edge_length = distance / 2
node1.edge_length = inner_node.edge_length * relative_position
node2.edge_length = inner_node.edge_length * (1 - relative_position)
return inner_node
# 示例使用
tree = dendropy.Tree.get_from_string("((A:1,B:2):3,(C:4,D:5):6);", "newick")
node1 = tree.find_node_with_taxon_label("B")
node2 = tree.find_node_with_taxon_label("C")
inner_node = add_inner_node(node1, node2)
print(tree.as_string(schema="new