Changeset 1714:cdad13f0d034 in orange-bioinformatics


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Timestamp:
08/29/12 11:37:09 (20 months ago)
Author:
markotoplak
Branch:
default
Message:

Updated the description.

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1 edited

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  • README.rst

    r1674 r1714  
    22===================== 
    33 
    4 Orange Bioinformatics is an add-on for Orange_ data mining software package. It 
    5 extends Orange by providing common functionality for basic tasks in 
    6 bioinformatics. It also provides widgets for Orange Canvas, which enable users 
    7 who are not programmers to manage microarray and genomic data flow and to 
    8 customize their analysis by combining common data analysis tools to fit their 
    9 needs. 
     4Orange Bioinformatics extends Orange_, a data mining software 
     5package, with common functionality for bioinformatics. The provided 
     6functionality can be accessed as a Python library or through a visual 
     7programming interface (Orange Canvas). The latter is also suitable for 
     8non-programmers. 
     9 
     10In Orange Canvas the analyst connects basic computational units, called 
     11widgets, into data flow analytics schemas. Two units-widgets can be 
     12connected if they share a data type. Compared to other popular tools like 
     13Taverna, Orange widgets are high-level, integrated potentially complex 
     14tasks, but are specific enough to be used independently. Even elaborate 
     15analyses rarely consist of more than ten widgets; while tasks such as 
     16clustering and enrichment analysis could be executed with up to five 
     17widgets. While building the schema each widget is independently controlled 
     18with settings, the settings do not conceptually burden the analyst. 
     19 
     20Orange Bioinformatics provides access to publicly available data, 
     21like GEO data sets, Biomart, GO, KEGG, Atlas, ArrayExpress, and PIPAx 
     22database. As for the analytics, there is gene selection, quality control, 
     23scoring distances between experiments with multiple factors. All features 
     24can be combined with powerful visualization, network exploration and 
     25data mining techniques from the Orange data mining framework. 
    1026 
    1127.. _Orange: http://orange.biolab.si/ 
    1228 
    13 Documentation is found at: 
    14  
    15 http://orange-bioinformatics.readthedocs.org/ 
     29Documentation: http://orange-bioinformatics.readthedocs.org/ 
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