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PyCogent: a toolkit for making sense from sequence

Rob Knight* 1 email, Peter Maxwell* 2 email, Amanda Birmingham3 email, Jason Carnes4 email, J Gregory Caporaso5 email, Brett C Easton2 email, Michael Eaton6 email, Micah Hamady7 email, Helen Lindsay2 email, Zongzhi Liu1 email, Catherine Lozupone1 email, Daniel McDonald7 email, Michael Robeson8 email, Raymond Sammut2 email, Sandra Smit1 email, Matthew J Wakefield2,9 email, Jeremy Widmann1 email, Shandy Wikman1 email, Stephanie Wilson7 email, Hua Ying2 email and Gavin A Huttley2 email

1Department of Chemistry and Biochemistry, University of Colorado, Boulder, Colorado, USA

2Computational Genomics Laboratory, John Curtin School of Medical Research, The Australian National University, Canberra, Australian Capital Territory, Australia

3Thermo Fisher Scientific, Lafayette, Colorado, USA

4Seattle Biomedical Research Institute, Seattle, Washington, USA

5Department of Biochemistry and Molecular Genetics, University of Colorado Health Sciences Center, Aurora, Colorado, USA

6Science Applications International Corporation, Englewood, Colorado, USA

7Department of Computer Science, University of Colorado, Boulder, Colorado, USA

8Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, Colorado, USA

9Walter and Eliza Hall Institute, Melbourne, Victoria, Australia

author email corresponding author email* Contributed equally

Genome Biology 2007, 8:R171doi:10.1186/gb-2007-8-8-r171

Published: 21 August 2007

Subject areas: Bioinformatics, Evolution, Genome studies

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 webcite.


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