Rintact: enabling computational analysis of molecular interaction data from the IntAct repository | Zendy

Tony Chiang | Zendy; Nianhua Li | Zendy; Sandra Orchard | Zendy; Samuel Kerrien | Zendy; Henning Hermjakob | Zendy; Robert Gentleman | Zendy; Wolfgang Huber | Zendy

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Rintact: enabling computational analysis of molecular interaction data from the IntAct repository

Author(s) -

Tony Chiang,

Nianhua Li,

Sandra Orchard,

Samuel Kerrien,

Henning Hermjakob,

Robert Gentleman,

Wolfgang Huber

Publication year - 2007

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btm518

Subject(s) - bioconductor , computer science , software , r package , graphical user interface , computational statistics , graph , data mining , rendering (computer graphics) , variety (cybernetics) , interface (matter) , computational science , theoretical computer science , programming language , machine learning , parallel computing , artificial intelligence , biology , biochemistry , gene , bubble , maximum bubble pressure method

The IntAct repository is one of the largest and most widely used databases for the curation and storage of molecular interaction data. These datasets need to be analyzed by computational methods. Software packages in the statistical environment R provide powerful tools for conducting such analyses.

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