PyCogent: A toolkit for making sense from sequence

Rob Knight; Peter Maxwell; Amanda Birmingham; Jason Carnes; J. Gregory Caporaso; Brett C. Easton; Michael Eaton; Micah Hamady; Helen Lindsay; Zongzhi Liu; Catherine Lozupone; Daniel McDonald; Michael Robeson; Raymond Sammut; Sandra Smit; Matthew J. Wakefield; Jeremy Widmann; Shandy Wikman; Stephanie Wilson; Hua Ying; Gavin A. Huttley

doi:10.1186/gb-2007-8-8-r171

PyCogent: A toolkit for making sense from sequence

Rob Knight^*, Peter Maxwell, Amanda Birmingham, Jason Carnes, J. Gregory Caporaso, Brett C. Easton, Michael Eaton, Micah Hamady, Helen Lindsay, Zongzhi Liu, Catherine Lozupone, Daniel McDonald, Michael Robeson, Raymond Sammut, Sandra Smit, Matthew J. Wakefield, Jeremy Widmann, Shandy Wikman, Stephanie Wilson, Hua YingGavin A. Huttley

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

152 Citations (Scopus)

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.

Original language	English
Article number	R171
Journal	Genome Biology
Volume	8
Issue number	8
DOIs	https://doi.org/10.1186/gb-2007-8-8-r171
Publication status	Published - 21 Aug 2007

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Knight, R., Maxwell, P., Birmingham, A., Carnes, J., Caporaso, J. G., Easton, B. C., Eaton, M., Hamady, M., Lindsay, H., Liu, Z., Lozupone, C., McDonald, D., Robeson, M., Sammut, R., Smit, S., Wakefield, M. J., Widmann, J., Wikman, S., Wilson, S., ... Huttley, G. A. (2007). PyCogent: A toolkit for making sense from sequence. Genome Biology, 8(8), Article R171. https://doi.org/10.1186/gb-2007-8-8-r171

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title = "PyCogent: A toolkit for making sense from sequence",

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.",

author = "Rob Knight and Peter Maxwell and Amanda Birmingham and Jason Carnes and Caporaso, {J. Gregory} and Easton, {Brett C.} and Michael Eaton and Micah Hamady and Helen Lindsay and Zongzhi Liu and Catherine Lozupone and Daniel McDonald and Michael Robeson and Raymond Sammut and Sandra Smit and Wakefield, {Matthew J.} and Jeremy Widmann and Shandy Wikman and Stephanie Wilson and Hua Ying and Huttley, {Gavin A.}",

year = "2007",

month = aug,

day = "21",

doi = "10.1186/gb-2007-8-8-r171",

language = "English",

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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 2007, 'PyCogent: A toolkit for making sense from sequence', Genome Biology, vol. 8, no. 8, R171. https://doi.org/10.1186/gb-2007-8-8-r171

TY - JOUR

T1 - PyCogent

T2 - A toolkit for making sense from sequence

AU - Knight, Rob

AU - Maxwell, Peter

AU - Birmingham, Amanda

AU - Carnes, Jason

AU - Caporaso, J. Gregory

AU - Easton, Brett C.

AU - Eaton, Michael

AU - Hamady, Micah

AU - Lindsay, Helen

AU - Liu, Zongzhi

AU - Lozupone, Catherine

AU - McDonald, Daniel

AU - Robeson, Michael

AU - Sammut, Raymond

AU - Smit, Sandra

AU - Wakefield, Matthew J.

AU - Widmann, Jeremy

AU - Wikman, Shandy

AU - Wilson, Stephanie

AU - Ying, Hua

AU - Huttley, Gavin A.

PY - 2007/8/21

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N2 - 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.

AB - 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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SN - 1474-7596

VL - 8

JO - Genome Biology

JF - Genome Biology

IS - 8

M1 - R171

ER -

PyCogent: A toolkit for making sense from sequence

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