Load numpy arrays from a VCF (variant call file).
Project description
Load numpy arrays from a VCF (variant call file).
Installation
Installation requires numpy and cython:
$ pip install vcfnp
…or:
$ git clone --recursive git://github.com/alimanfoo/vcfnp.git $ cd vcfnp $ python setup.py build_ext --inplace
Usage
import sys import vcfnp import numpy as np import matplotlib.pyplot as plt filename = '/path/to/my.vcf' # load data from fixed fields (including INFO) V = vcfnp.variants(filename).view(np.recarray) # print some simple variant metrics print 'found %s variants (%s SNPs)' % (v.size, np.count_nonzero(v.is_snp)) print 'QUAL mean (std): %s (%s)' % (np.mean(v.QUAL), np.std(v.QUAL)) # plot a histogram of variant depth fig = plt.figure(1) ax = fig.add_subplot(111) ax.hist(V.DP) ax.set_title('DP histogram') ax.set_xlabel('DP') plt.show() # load data from sample columns C = vcfnp.calldata(filename).view(np.recarray) C2d = vcfnp.view2d(C) # print some simple genotype metrics count_phased = np.count_nonzero(C2d.is_phased) count_variant = np.count_nonzero(np.any(C2d.genotype > 0, axis=2)) count_missing = np.count_nonzero(~C2d.is_called) print 'calls (phased, variant, missing): %s (%s, %s, %s)' % (C2d.flatten().size, count_phased, count_variant, count_missing) # plot a histogram of genotype quality fig = plt.figure(2) ax = fig.add_subplot(111) ax.hist(C2d.GQ.flatten()) ax.set_title('GQ histogram') ax.set_xlabel('GQ') plt.show()
Release Notes
Note that as of version 1.0 the info() function has been removed and the variants() function now loads data from any of the VCF fixed fields including INFO. I.e., the variants() function gives access to all variant-level data in a single structured array. This is convenient for many use cases, e.g., using PyTables in-kernel queries to select variants passing some filtering criteria.
Acknowledgments
Based on Erik Garrison’s vcflib.
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