Skip navigation
Skip navigation

PyCogent: a toolkit for making sense from sequence

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


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...[Show more]

CollectionsANU Research Publications
Date published: 2007-08-21
Type: Journal article
Source: Genome Biology
DOI: 10.1186/gb-2007-8-8-r171


File Description SizeFormat Image
01_Knight_PyCogent:_a_toolkit_for_making_2007.pdfPublished Version955.47 kBAdobe PDFThumbnail

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  20 July 2017/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator