PyCogent: a toolkit for making sense from sequence
- Author(s)
- Knight, R; Maxwell, P; Birmingham, A; Carnes, J; Caporaso, JG; Easton, BC; Eaton, M; Hamady, M; Lindsay, H; Liu, ZZ; Lozupone, C; McDonald, D; Robeson, M; Sammut, R; Smit, S; Wakefield, MJ; Widmann, J; Wikman, S; Wilson, S; Ying, H; Huttley, GA;
- Details
- Publication Year 2007,Volume 8,Issue #8,Page -
- Journal Title
- GENOME BIOLOGY
- Publication Type
- Journal Article
- 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.
- Publisher
- BIOMED CENTRAL LTD
- Keywords
- AMINO-ACID SITES; ART. NO. 1; MAXIMUM-LIKELIHOOD; NUCLEOTIDE SUBSTITUTION; POSITIVE SELECTION; DNA-SEQUENCES; MUTATION DATA; EVOLUTION; ALIGNMENT; PROTEIN
- Publisher's Version
- https://doi.org/10.1186/gb-2007-8-8-r171
- Terms of Use/Rights Notice
- Refer to copyright notice on published article.
Creation Date: 2007-01-01 12:00:00