Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Simkovic, Felix, Thomas, Jens M H, Rigden, Daniel J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
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
_version_ 1783309507816849408
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
work_keys_str_mv AT simkovicfelix conkitapythoninterfacetocontactpredictions
AT thomasjensmh conkitapythoninterfacetocontactpredictions
AT rigdendanielj conkitapythoninterfacetocontactpredictions