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ConKit: a python interface to contact predictions
SUMMARY: Recent advances in protein residue contact prediction algorithms have led to the emergence of many new methods and a variety of file formats. We present ConKit, an open source, modular and extensible Python interface which allows facile conversion between formats and provides an interface t...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870551/ https://www.ncbi.nlm.nih.gov/pubmed/28369168 http://dx.doi.org/10.1093/bioinformatics/btx148 |
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author | Simkovic, Felix Thomas, Jens M H Rigden, Daniel J |
author_facet | Simkovic, Felix Thomas, Jens M H Rigden, Daniel J |
author_sort | Simkovic, Felix |
collection | PubMed |
description | SUMMARY: Recent advances in protein residue contact prediction algorithms have led to the emergence of many new methods and a variety of file formats. We present ConKit, an open source, modular and extensible Python interface which allows facile conversion between formats and provides an interface to analyses of sequence alignments and sets of contact predictions. AVAILABILITY AND IMPLEMENTATION: ConKit is available via the Python Package Index. The documentation can be found at http://www.conkit.org. ConKit is licensed under the BSD 3-Clause. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-5870551 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-58705512018-04-05 ConKit: a python interface to contact predictions Simkovic, Felix Thomas, Jens M H Rigden, Daniel J Bioinformatics Applications Notes SUMMARY: Recent advances in protein residue contact prediction algorithms have led to the emergence of many new methods and a variety of file formats. We present ConKit, an open source, modular and extensible Python interface which allows facile conversion between formats and provides an interface to analyses of sequence alignments and sets of contact predictions. AVAILABILITY AND IMPLEMENTATION: ConKit is available via the Python Package Index. The documentation can be found at http://www.conkit.org. ConKit is licensed under the BSD 3-Clause. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2017-07-15 2017-03-22 /pmc/articles/PMC5870551/ /pubmed/28369168 http://dx.doi.org/10.1093/bioinformatics/btx148 Text en © The Author 2017. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Simkovic, Felix Thomas, Jens M H Rigden, Daniel J ConKit: a python interface to contact predictions |
title | ConKit: a python interface to contact predictions |
title_full | ConKit: a python interface to contact predictions |
title_fullStr | ConKit: a python interface to contact predictions |
title_full_unstemmed | ConKit: a python interface to contact predictions |
title_short | ConKit: a python interface to contact predictions |
title_sort | conkit: a python interface to contact predictions |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870551/ https://www.ncbi.nlm.nih.gov/pubmed/28369168 http://dx.doi.org/10.1093/bioinformatics/btx148 |
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