Examples¶
The Very Basics¶
Load the library:
>>> import lingpy
>>> import lingpy as lp
Load all important packages:
>>> from lingpy import *
Alignment Analyses¶
Carry out a multiple alignment analysis of four sequences. First, define the sequences:
>>> seqs = ['woldemort','waldemar','wladimir','vladymyr']
Create an instance of the Multiple
class:
>>> msa = Multiple(seqs)
Align the sequences, using simple progressive alignment with default parameters:
>>> msa.prog_align()
Print out the results to the screen:
>>> print(msa)
w o l - d e m o r t
w a l - d e m a r -
w - l a d i m i r -
v - l a d y m y r -
Use a short-cut to align the four sequences:
>>> mult_align(['woldemort', 'waldemar', 'wladimir', 'vladymyr'], pprint=True)
Reconstruction of Phylogenetic Trees¶
Import LingPy:
>>> from lingpy import *
Import the squareform-function for convenience:
>>> from lingpy.algorithm import squareform
Set up a couple of languages:
>>> languages = ['Norwegian','Swedish','Icelandic','Dutch','English']
Define a distance matrix:
>>> distances = squareform([0.5,0.67,0.8,0.2,0.4,0.7,0.6,0.8,0.8,0.3])
Carry out a Neighbor-Joining cluster analysis:
>>> tree = neighbor(distances,languages)
>>> print(tree)
'(((Norwegian:0.18,(Swedish:0.12,Icelandic:0.28):0.21):0.17,Dutch:0.31):-0.01,English:-0.01);'
Print the tree in ASCII-Art to the screen (using PyCogent’s tree class):
>>> tree = Tree(tree)
>>> print(tree.asciiArt())
/-Norwegian
/edge.1--|
| | /-Swedish
/edge.2--| \edge.0--|
| | \-Icelandic
-root----| |
| \-Dutch
|
\-English