Skip to main content

Orange Bioinformatics add-on for Orange data mining software package.

Project description

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.

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

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

Orange-Bioinformatics-2.5a8.tar.gz (667.9 kB view details)

Uploaded Source

File details

Details for the file Orange-Bioinformatics-2.5a8.tar.gz.

File metadata

File hashes

Hashes for Orange-Bioinformatics-2.5a8.tar.gz
Algorithm Hash digest
SHA256 68b1727aa7fff3a52bf373927bf37e810ed34dc15f81bd7adf836057c63edae2
MD5 b5350366776b0570c5dfd1bfe0e19b4e
BLAKE2b-256 063c684323d36bc2d22e4e54febf58d0b4b7638408652261c58403644370bd3d

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