ConKit: a python interface to contact predictions | Zendy

Felix Šimkovic | Zendy; Jens M. H. Thomas | Zendy; Daniel J. Rigden | Zendy

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ConKit: a python interface to contact predictions

Author(s) -

Felix Šimkovic,

Jens M. H. Thomas,

Daniel J. Rigden

Publication year - 2017

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btx148

Subject(s) - python (programming language) , computer science , documentation , programming language , modular design , extensibility , interface (matter) , open source , graphical user interface , operating system , software , bubble , maximum bubble pressure method

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.

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