ConKit: a python interface to contact predictions
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 analys...
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| Published in | Bioinformatics (Oxford, England) Vol. 33; no. 14; pp. 2209 - 2211 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
England
Oxford University Press
15.07.2017
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1367-4803 1367-4811 1367-4811 |
| DOI | 10.1093/bioinformatics/btx148 |
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| Abstract | 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.
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.
hlfsimko@liverpool.ac.uk or drigden@liverpool.ac.uk.
Supplementary data are available at Bioinformatics online. |
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| AbstractList | 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.
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.
hlfsimko@liverpool.ac.uk or drigden@liverpool.ac.uk.
Supplementary data are available at Bioinformatics online. 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.SUMMARYRecent 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.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.AVAILABILITY AND IMPLEMENTATIONConKit 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.hlfsimko@liverpool.ac.uk or drigden@liverpool.ac.uk.CONTACThlfsimko@liverpool.ac.uk or drigden@liverpool.ac.uk.Supplementary data are available at Bioinformatics online.SUPPLEMENTARY INFORMATIONSupplementary data are available at Bioinformatics online. |
| Author | Rigden, Daniel J Simkovic, Felix Thomas, Jens M H |
| AuthorAffiliation | Department of Biochemistry, Institute of Integrative Biology, University of Liverpool, Liverpool, UK |
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| Author_xml | – sequence: 1 givenname: Felix surname: Simkovic fullname: Simkovic, Felix – sequence: 2 givenname: Jens M H surname: Thomas fullname: Thomas, Jens M H – sequence: 3 givenname: Daniel J surname: Rigden fullname: Rigden, Daniel J |
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| Title | ConKit: a python interface to contact predictions |
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