PyCogent: a toolkit for making sense from sequence View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2007-08-21

AUTHORS

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

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. More... »

PAGES

r171-r171

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/gb-2007-8-8-r171

DOI

http://dx.doi.org/10.1186/gb-2007-8-8-r171

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1036049247

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/17708774


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curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/gb-2007-8-8-r171'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/gb-2007-8-8-r171'


 

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