https://github.com/biolab/orange-bio

https://github.com/biolab/orange-bio

Last synced: about 2 months ago
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• Host: GitHub
• URL: https://github.com/biolab/orange-bio
• Owner: biolab
• License: other
• Created: 2015-04-10T08:08:50.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2018-03-28T14:55:04.000Z (over 6 years ago)
• Last Synced: 2024-05-19T23:36:51.539Z (4 months ago)
• Language: Python
• Size: 25.9 MB
• Stars: 8
• Watchers: 12
• Forks: 32
• Open Issues: 5
• Metadata Files:
  • Readme: README.rst
  • License: COPYING

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README

        
Orange Bioinformatics

=====================

Orange Bioinformatics extends Orange_, a data mining software

package, with common functionality for bioinformatics. The provided

functionality can be accessed as a Python library or through a visual

programming interface (Orange Canvas). The latter is also suitable for

non-programmers.

In Orange Canvas the analyst connects basic computational units, called

widgets, into data flow analytics schemas. Two units-widgets can be

connected if they share a data type. Compared to other popular tools like

Taverna, Orange widgets are high-level, integrated potentially complex

tasks, but are specific enough to be used independently. Even elaborate

analyses rarely consist of more than ten widgets; while tasks such as

clustering and enrichment analysis could be executed with up to five

widgets. While building the schema each widget is independently controlled

with settings, the settings do not conceptually burden the analyst.

Orange Bioinformatics provides access to publicly available data,

like GEO data sets, Biomart, GO, KEGG, Atlas, ArrayExpress, and PIPAx

database. As for the analytics, there is gene selection, quality control,

scoring distances between experiments with multiple factors. All features

can be combined with powerful visualization, network exploration and

data mining techniques from the Orange data mining framework.

.. _Orange: http://orange.biolab.si/

Documentation: http://orange-bioinformatics.readthedocs.org/