1. Siddhant Gupta
  2. orange-bioinformatics


Marko Toplak  committed cdad13f

Updated the description.

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 Orange Bioinformatics
-Orange Bioinformatics is an add-on for Orange_ data mining software package. It
-extends Orange by providing common functionality for basic tasks in
-bioinformatics. It also provides widgets for Orange Canvas, which enable users
-who are not programmers to manage microarray and genomic data flow and to
-customize their analysis by combining common data analysis tools to fit their
+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
+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 is found at:
+Documentation: http://orange-bioinformatics.readthedocs.org/