Cargando…
PyCogent: a toolkit for making sense from sequence
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 gene...
| Autores principales: | , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2007
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2375001/ https://www.ncbi.nlm.nih.gov/pubmed/17708774 http://dx.doi.org/10.1186/gb-2007-8-8-r171 |
| _version_ | 1782154556309766144 |
|---|---|
| author | Knight, Rob Maxwell, Peter Birmingham, Amanda Carnes, Jason Caporaso, J Gregory Easton, Brett C Eaton, Michael Hamady, Micah Lindsay, Helen Liu, Zongzhi Lozupone, Catherine McDonald, Daniel Robeson, Michael Sammut, Raymond Smit, Sandra Wakefield, Matthew J Widmann, Jeremy Wikman, Shandy Wilson, Stephanie Ying, Hua Huttley, Gavin A |
| author_facet | Knight, Rob Maxwell, Peter Birmingham, Amanda Carnes, Jason Caporaso, J Gregory Easton, Brett C Eaton, Michael Hamady, Micah Lindsay, Helen Liu, Zongzhi Lozupone, Catherine McDonald, Daniel Robeson, Michael Sammut, Raymond Smit, Sandra Wakefield, Matthew J Widmann, Jeremy Wikman, Shandy Wilson, Stephanie Ying, Hua Huttley, Gavin A |
| author_sort | Knight, Rob |
| collection | PubMed |
| description | 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 . |
| format | Text |
| id | pubmed-2375001 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2007 |
| publisher | BioMed Central |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-23750012008-05-10 PyCogent: a toolkit for making sense from sequence Knight, Rob Maxwell, Peter Birmingham, Amanda Carnes, Jason Caporaso, J Gregory Easton, Brett C Eaton, Michael Hamady, Micah Lindsay, Helen Liu, Zongzhi Lozupone, Catherine McDonald, Daniel Robeson, Michael Sammut, Raymond Smit, Sandra Wakefield, Matthew J Widmann, Jeremy Wikman, Shandy Wilson, Stephanie Ying, Hua Huttley, Gavin A Genome Biol Software 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 . BioMed Central 2007 2007-08-21 /pmc/articles/PMC2375001/ /pubmed/17708774 http://dx.doi.org/10.1186/gb-2007-8-8-r171 Text en Copyright © 2007 Knight et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| spellingShingle | Software Knight, Rob Maxwell, Peter Birmingham, Amanda Carnes, Jason Caporaso, J Gregory Easton, Brett C Eaton, Michael Hamady, Micah Lindsay, Helen Liu, Zongzhi Lozupone, Catherine McDonald, Daniel Robeson, Michael Sammut, Raymond Smit, Sandra Wakefield, Matthew J Widmann, Jeremy Wikman, Shandy Wilson, Stephanie Ying, Hua Huttley, Gavin A PyCogent: a toolkit for making sense from sequence |
| title | PyCogent: a toolkit for making sense from sequence |
| title_full | PyCogent: a toolkit for making sense from sequence |
| title_fullStr | PyCogent: a toolkit for making sense from sequence |
| title_full_unstemmed | PyCogent: a toolkit for making sense from sequence |
| title_short | PyCogent: a toolkit for making sense from sequence |
| title_sort | pycogent: a toolkit for making sense from sequence |
| topic | Software |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2375001/ https://www.ncbi.nlm.nih.gov/pubmed/17708774 http://dx.doi.org/10.1186/gb-2007-8-8-r171 |
| work_keys_str_mv | AT knightrob pycogentatoolkitformakingsensefromsequence AT maxwellpeter pycogentatoolkitformakingsensefromsequence AT birminghamamanda pycogentatoolkitformakingsensefromsequence AT carnesjason pycogentatoolkitformakingsensefromsequence AT caporasojgregory pycogentatoolkitformakingsensefromsequence AT eastonbrettc pycogentatoolkitformakingsensefromsequence AT eatonmichael pycogentatoolkitformakingsensefromsequence AT hamadymicah pycogentatoolkitformakingsensefromsequence AT lindsayhelen pycogentatoolkitformakingsensefromsequence AT liuzongzhi pycogentatoolkitformakingsensefromsequence AT lozuponecatherine pycogentatoolkitformakingsensefromsequence AT mcdonalddaniel pycogentatoolkitformakingsensefromsequence AT robesonmichael pycogentatoolkitformakingsensefromsequence AT sammutraymond pycogentatoolkitformakingsensefromsequence AT smitsandra pycogentatoolkitformakingsensefromsequence AT wakefieldmatthewj pycogentatoolkitformakingsensefromsequence AT widmannjeremy pycogentatoolkitformakingsensefromsequence AT wikmanshandy pycogentatoolkitformakingsensefromsequence AT wilsonstephanie pycogentatoolkitformakingsensefromsequence AT yinghua pycogentatoolkitformakingsensefromsequence AT huttleygavina pycogentatoolkitformakingsensefromsequence |