Decombinator specifications

Information

Unique identifier	OMICS_00001
Name	Decombinator
Software type	Package/Module
Interface	Command line interface
Restrictions to use	None
Operating system	Unix/Linux
Programming languages	Python
Computer skills	Advanced
Version	3.1
Stability	Stable
Requirements	acora, biopython, regex, python-Levenshtein
Maintained	Yes

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Documentation

Issues: https://github.com/uclinfectionimmunity/Decombinator/issues

Maintainer

Benny Chain <>

Additional information

https://innate2adaptive.github.io/Decombinator/

Publications for Decombinator

Feature selection using a one dimensional naïve Bayes' classifier increases the accuracy of support vector machine classification of CDR3 repertoires.

2017 Bioinformatics

PMID: 28073756

DOI: 10.1093/bioinformatics/btw771

Decombinator: a tool for fast, efficient gene assignment in T-cell receptor sequences using a finite state machine.

2013 Bioinformatics

PMID: 23303508

Decombinator institution(s)

CoMPLEX Department, UCL, Gower Street, London, UK; Division of Infection and Immunity, The Cruciform Building, UCL, London, UK; Department of Immunology, Weizmann Institute of Science, Rehovot, Israel; Department of Computer Science, UCL, London, UK

Decombinator funding source(s)

Supported by the Engineering and Physical Sciences Research Council and the Medical Research Council, UK.

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