PyCogent: a toolkit for making sense from sequence
Loading...
Date
Authors
Knight, Rob
Maxwell, Peter
Birmingham, Amanda
Carnes, Jason
Caporaso, J Gregory
Easton, Brett C
Eaton, Michael
Hamady, Micah
Lindsay, Helen
Liu, Zongzhi
Journal Title
Journal ISSN
Volume Title
Publisher
BioMed Central
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.
Description
Citation
Collections
Source
Genome Biology
Type
Book Title
Entity type
Access Statement
License Rights
Restricted until
Downloads
File
Description
Published Version