PyCogent: a toolkit for making sense from sequence
- Equal contributors
1 Department of Chemistry and Biochemistry, University of Colorado, Boulder, Colorado, USA
2 Computational Genomics Laboratory, John Curtin School of Medical Research, The Australian National University, Canberra, Australian Capital Territory, Australia
3 Thermo Fisher Scientific, Lafayette, Colorado, USA
4 Seattle Biomedical Research Institute, Seattle, Washington, USA
5 Department of Biochemistry and Molecular Genetics, University of Colorado Health Sciences Center, Aurora, Colorado, USA
6 Science Applications International Corporation, Englewood, Colorado, USA
7 Department of Computer Science, University of Colorado, Boulder, Colorado, USA
8 Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, Colorado, USA
9 Walter and Eliza Hall Institute, Melbourne, Victoria, Australia
Genome Biology 2007, 8:R171 doi:10.1186/gb-2007-8-8-r171Published: 21 August 2007
Additional 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: 3.9MB Download file
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: 4.4MB 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