Library for manipulating genomic variants and predicting their effects
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README.md

Build Status Coverage Status DOI PyPI

Varcode

Varcode is a library for working with genomic variant data in Python and predicting the impact of those variants on protein sequences.

Installation

You can install varcode using pip:

pip install varcode

Optionally, you can pre-populate metadata caches through PyEnsembl as follows:

# Downloads and installs the Ensembl releases (75 and 76)
pyensembl install --release 75 76

This will eliminate a potential delay of several minutes required to install the relevant data when using the Varcode for the first time.

Example

import varcode

# Load TCGA MAF containing variants from their
variants = varcode.load_maf("tcga-ovarian-cancer-variants.maf")

print(variants)
### <VariantCollection from 'tcga-ovarian-cancer-variants.maf' with 6428 elements>
###  -- Variant(contig=1, start=69538, ref=G, alt=A, genome=GRCh37)
###  -- Variant(contig=1, start=881892, ref=T, alt=G, genome=GRCh37)
###  -- Variant(contig=1, start=3389714, ref=G, alt=A, genome=GRCh37)
###  -- Variant(contig=1, start=3624325, ref=G, alt=T, genome=GRCh37)
###  ...

# you can index into a VariantCollection and get back a Variant object
variant = variants[0]

# groupby_gene_name returns a dictionary whose keys are gene names
# and whose values are themselves VariantCollections
gene_groups = variants.groupby_gene_name()

# get variants which affect the TP53 gene
TP53_variants = gene_groups["TP53"]

# predict protein coding effect of every TP53 variant on
# each transcript of the TP53 gene
TP53_effects = TP53_variants.effects()

print(TP53_effects)
### <EffectCollection with 789 elements>
### -- PrematureStop(variant=chr17 g.7574003G>A, transcript_name=TP53-001, transcript_id=ENST00000269305, effect_description=p.R342*)
### -- ThreePrimeUTR(variant=chr17 g.7574003G>A, transcript_name=TP53-005, transcript_id=ENST00000420246)
### -- PrematureStop(variant=chr17 g.7574003G>A, transcript_name=TP53-002, transcript_id=ENST00000445888, effect_description=p.R342*)
### -- FrameShift(variant=chr17 g.7574030_7574030delG, transcript_name=TP53-001, transcript_id=ENST00000269305, effect_description=p.R333fs)
### ...

premature_stop_effect = TP53_effects[0]

print(str(premature_stop_effect.mutant_protein_sequence))
### 'MEEPQSDPSVEPPLSQETFSDLWKLLPENNVLSPLPSQAMDDLMLSPDDIEQWFTEDPGPDEAPRMPEAAPPVAPAPAAPTPAAPAPAPSWPLSSSVPSQKTYQGSYGFRLGFLHSGTAKSVTCTYSPALNKMFCQLAKTCPVQLWVDSTPPPGTRVRAMAIYKQSQHMTEVVRRCPHHERCSDSDGLAPPQHLIRVEGNLRVEYLDDRNTFRHSVVVPYEPPEVGSDCTTIHYNYMCNSSCMGGMNRRPILTIITLEDSSGNLLGRNSFEVRVCACPGRDRRTEEENLRKKGEPHHELPPGSTKRALPNNTSSSPQPKKKPLDGEYFTLQIRGRERFEMF'

print(premature_stop_effect.aa_mutation_start_offset)
### 341

print(premature_stop_effect.transcript)
### Transcript(id=ENST00000269305, name=TP53-001, gene_name=TP53, biotype=protein_coding, location=17:7571720-7590856)

print(premature_stop_effect.gene.name)
### 'TP53'

If you are looking for a quick start guide, you can check out this iPython book that demonstrates simple use cases of Varcode

Effect Types

Effect type Description
AlternateStartCodon Replace annotated start codon with alternative start codon (e.g. "ATG>CAG").
ComplexSubstitution Insertion and deletion of multiple amino acids.
Deletion Coding mutation which causes deletion of amino acid(s).
ExonLoss Deletion of entire exon, significantly disrupts protein.
ExonicSpliceSite Mutation at the beginning or end of an exon, may affect splicing.
FivePrimeUTR Variant affects 5' untranslated region before start codon.
FrameShiftTruncation A frameshift which leads immediately to a stop codon (no novel amino acids created).
FrameShift Out-of-frame insertion or deletion of nucleotides, causes novel protein sequence and often premature stop codon.
IncompleteTranscript Can't determine effect since transcript annotation is incomplete (often missing either the start or stop codon).
Insertion Coding mutation which causes insertion of amino acid(s).
Intergenic Occurs outside of any annotated gene.
Intragenic Within the annotated boundaries of a gene but not in a region that's transcribed into pre-mRNA.
IntronicSpliceSite Mutation near the beginning or end of an intron but less likely to affect splicing than donor/acceptor mutations.
Intronic Variant occurs between exons and is unlikely to affect splicing.
NoncodingTranscript Transcript doesn't code for a protein.
PrematureStop Insertion of stop codon, truncates protein.
Silent Mutation in coding sequence which does not change the amino acid sequence of the translated protein.
SpliceAcceptor Mutation in the last two nucleotides of an intron, likely to affect splicing.
SpliceDonor Mutation in the first two nucleotides of an intron, likely to affect splicing.
StartLoss Mutation causes loss of start codon, likely result is that an alternate start codon will be used down-stream (possibly in a different frame).
StopLoss Loss of stop codon, causes extension of protein by translation of nucleotides from 3' UTR.
Substitution Coding mutation which causes simple substitution of one amino acid for another.
ThreePrimeUTR Variant affects 3' untranslated region after stop codon of mRNA.

Coordinate System

Varcode currently uses a "base counted, one start" genomic coordinate system, to match the Ensembl annotation database. We are planning to switch over to "space counted, zero start" (interbase) coordinates, since that system allows for more uniform logic (no special cases for insertions). To learn more about genomic coordinate systems, read this blog post.