Skip to main content

Automate Stanford's GREAT browser

Project description

greatbrowser v1.0.5

A selenium implementation in python for Stanford's GREAT browser, allowing for quick and easy genomic analysis.

This repository can be installed as a module

pip install greatbrowser

with the available functions being accessible though

from greatbrowser import great_analysis, great_global_controls, great_get_options

A guide demonstrating how these functions may be used is available in the "tests" folder (see: "sample_usage")

The user experience is primarily built around a single function, great_analysis(), with the complementary functions great_get_options() and great_global_controls() providing context regarding some of the parameters for this function.

The current version supports the ability to find gene associations using probe sets as well the ability to download any GREAT-generated table or plot in dataframe form. UCSC genome browser implementation is also supported. Customizability is controlled through parameter tuning, some of which are specific, while others are encapsulated within the "global_settings" dictionary parameter as key options. More specific information is available in the great_analysis() docstring. Because the project uses switch statements, its requires python >= 3.10 to run. Analysis is limited to <200,000 regions.

This repository is ideal for individuals attempting to conduct many different analyses using GREAT across many different probe sets. It is fully functional with regards to its ability to modify table output settings, but is not ideal if one desires to perform highly custom visual modifications to specifically the raw barplot or hierarchy plots generated by GREAT.

This repository is not affiliated with the official GREAT browser and was developed solely for the sake of convenience.

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

greatbrowser-1.0.5.tar.gz (12.0 kB view details)

Uploaded Source

Built Distribution

greatbrowser-1.0.5-py3-none-any.whl (12.4 kB view details)

Uploaded Python 3

File details

Details for the file greatbrowser-1.0.5.tar.gz.

File metadata

  • Download URL: greatbrowser-1.0.5.tar.gz
  • Upload date:
  • Size: 12.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for greatbrowser-1.0.5.tar.gz
Algorithm Hash digest
SHA256 ffa71258ada7d047bdf5446e4aa0a466367bb2f11e35491362a4d74dadbfb5f7
MD5 e0b41ca3bcbed71920738e7e79bb8334
BLAKE2b-256 f437e4757f01cc71d83fbb3672460fbbbd93c0959c53ac382ffd054890233380

See more details on using hashes here.

Provenance

File details

Details for the file greatbrowser-1.0.5-py3-none-any.whl.

File metadata

  • Download URL: greatbrowser-1.0.5-py3-none-any.whl
  • Upload date:
  • Size: 12.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for greatbrowser-1.0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 38991f37d3eeab785d542aeff3434d6e4151f8835df52705d17262465d3bda89
MD5 0b00aded57dd780793306b43e2dc10b6
BLAKE2b-256 efe4b01f0a8e324a6d21b280209ea69f9da3252f3da70358004d7fa358f99fa3

See more details on using hashes here.

Provenance

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