PyCogent: a toolkit for making sense from sequence1Department 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
Genome Biology 2007, 8:R171doi:10.1186/gb-2007-8-8-r171
Subject areas: Bioinformatics, Evolution, Genome studies Additional filesAdditional data file 1: Presented is an overview of PyCogent's modules. Format: PDF Size: 32KB Download file This file can be viewed with: Adobe Acrobat Reader Presented is a Quicktime movie showing rotation of the painted VWF structure against a black background. Format: MOV Size: 4MB Download file Playing the movie within this page requires QuickTime and JavaScript. Read more Additional data file 3: Presented is an archive of all scripts used for the case studies presented in this report as Python source, restructured text, and HTML formats, as well as a data file required for the second case study. Format: GZ Size: 4.5MB Download file Additional data file 4: Presented is an archive of PyCogent version 1.0 source code and documentation. Format: GZ Size: 1.6MB Download file |


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