Skip to main content

Python library to access Gene Expression Omnibus Database (GEO)

Project description

https://img.shields.io/pypi/v/GEOparse.svg

Python library to access Gene Expression Omnibus Database (GEO).

GEOparse is python package that can be used to query and retrieve data from Gene Expression Omnibus database (GEO). The inspiration and the base for it is great R library GEOquery.

Features

  • Download GEO series, datasets etc. as SOFT files

  • Load GEO SOFT as easy to use and manipulate objects

  • Prepare your data for GEO upload

Installation

At the command line:

$ pip install GEOparse

TODO

There is still work to do so any contribution is welcome. The main issues are:

  • add checking for compatibility with SOFT files

  • expand GEOTypes objects with useful functions for differential expression analysis

History

0.1.5 (2016-02-03)

  • Added functions to download supplementary files including raw files from SRA

0.1.4 (2015-09-27)

  • Updated documentation including example

  • Updated tests: they now cover 80% of library with all important functions

  • Added pivot_and_annotate method to GSE object

  • Bugfixes

0.1.3 (2015-08-30)

  • Updated documentation

  • Added pivot_samples to GSE object

  • Code of GEOTypes was refactored

  • All objects now have to_soft function

  • Various bugfixes

0.1.2 (2015-08-23)

  • Added GDS support

  • Added to_soft methods to GSE, GSM and GPL

  • Added DATABASE entry support to GSE and GDS

0.1.1 (2015-08-16)

  • Brown-Bag release

0.1.0 (2015-08-16)

  • First release on PyPI.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

GEOparse-0.1.5.tar.gz (172.3 kB view details)

Uploaded Source

Built Distribution

GEOparse-0.1.5-py2.py3-none-any.whl (15.2 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file GEOparse-0.1.5.tar.gz.

File metadata

  • Download URL: GEOparse-0.1.5.tar.gz
  • Upload date:
  • Size: 172.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for GEOparse-0.1.5.tar.gz
Algorithm Hash digest
SHA256 94a6c0bc831ffb33d1ef58439ba1cb9a8a4a4aca3cb4d3e4cb4505bfd36076e8
MD5 2bb536df93930fdcb889727f4b716672
BLAKE2b-256 150a34034a14dd062752819a4fb26d61f9fa3c9d301d4b29d9a289ed16ac5331

See more details on using hashes here.

File details

Details for the file GEOparse-0.1.5-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for GEOparse-0.1.5-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 21f59c1926e8f0612929d2f146efd4202105b50363ca4dec9f735cd75ed67c5e
MD5 c9d2a82e89b4281ea3b2d5a8888a985e
BLAKE2b-256 f2919df8a0a70c20553db66e45744102d57d57c3413e69b00713406b76bf935f

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page