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    Genome Biol. 2007;8(8):R171.

    PyCogent: a toolkit for making sense from sequence.

    Knight R, Maxwell P, Birmingham A, Carnes J, Caporaso JG, Easton BC, Eaton M, Hamady M, Lindsay H, Liu Z, Lozupone C, McDonald D, Robeson M, Sammut R, Smit S, Wakefield MJ, Widmann J, Wikman S, Wilson S, Ying H, Huttley GA.

    Department of Chemistry and Biochemistry, University of Colorado, Boulder, Colorado, USA. rob@spot.colorado.edu

    We have implemented in Python the COmparative GENomic Toolkit, a fully integrated and thoroughly tested framework for novel probabilistic analyses of biological sequences, devising workflows, and generating publication quality graphics. PyCogent includes connectors to remote databases, built-in generalized probabilistic techniques for working with biological sequences, and controllers for third-party applications. The toolkit takes advantage of parallel architectures and runs on a range of hardware and operating systems, and is available under the general public license from http://sourceforge.net/projects/pycogent.

    PMID: 17708774 [PubMed - indexed for MEDLINE]

    PMCID: 2375001

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