This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
Latest Version Dependencies status unknown Test status unknown Test coverage unknown
Project Description
***************************************
Overview
***************************************
We want an extremely fast, lightweight way to access gene data stored in GTF format.

The parsed data is held in an intuitive
Gene
-> transcript
-> transcript
with exons being stored as intervals

Our aim is to
* cache data in binary format, which can be
* re-read in < 10s for even the largest genomes

Currently initial parsing Ensembl Homo sapiens release 56 takes around 4.5 minutes.
The binary data can be reloaded in < 10s.
This contains *all* of the data structure in the original GTF file

Note that we sacrifice memory usage for speed. This is seldom a problem for modern computers
and genome sizes (There are around ~400,000 exons but there are stored as intervals / int pairs)

***************************************
A Simple example
***************************************
::
gene_structures = t_parse_gtf("Mus musculus")

#
# used cached data for speed
#
ignore_cache = False

#
# get all protein coding genes only
#
genes_by_type = gene_structures.get_genes(gtf_file, logger, ["protein_coding"], ignore_cache = ignore_cache)

#
# print out gene counts
#
t_parse_gtf.log_gene_types (logger, genes_by_type)

return genes_by_type
Release History

Release History

1.40

This version

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1.31

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1.30

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1.09

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1.08

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1.07

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1.06

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1.04

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1.03

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1.02

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1.01

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1.0

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1.0beta2

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1.0beta

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
gtf_to_genes-1.40.tar.gz (35.6 kB) Copy SHA256 Checksum SHA256 Source Dec 4, 2014

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