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Decombinator

Allows users to analyze T-cell receptor (TCR) repertoire sequences produced by deep sequencing.

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Decombinator versioning

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Decombinator classification

Decombinator specifications

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

Decombinator support

Documentation

Maintainer

  • Benny Chain <>

Additional information

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

Credits

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Publications

Institution(s)

Division of Infection and Immunity, UCL, London, UK; Department of Computer Science, UCL, London, UK; Complex, UCL, London, UK; Department of Immunology, Weizmann Institute, Rehovot, Israel

Funding source(s)

Supported by a studentship from Microsoft Research, studentships from the UK MRC and the EPSRC, the National Institute for Health Research UCL Hospitals Biomedical Research Centre, grants from the Minerva Foundation with funding from the Federal German Ministry for Education and Research, the I-CORE Program of the Planning and Budgeting Committee and the Israel Science Foundation.

Link to literature

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