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PyCogent: a toolkit for making sense from sequence

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Authors

Knight, Rob
Maxwell, Peter
Birmingham, Amanda
Carnes, Jason
Caporaso, J Gregory
Easton, Brett C
Eaton, Michael
Hamady, Micah
Lindsay, Helen
Liu, Zongzhi

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BioMed Central

Abstract

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.

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Genome Biology

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