ClonoMatch: a tool for identifying homologous immunoglobulin and T-cell receptor sequences in large databases

Author:

Jones Taylor1,Day Samuel B1,Myers Luke1,Crowe James E123,Soto Cinque12

Affiliation:

1. Vanderbilt Vaccine Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA

2. Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN 37232, USA

3. Department of Pathology, Microbiology, and Immunology, Vanderbilt University, Nashville, TN 37232, USA

Abstract

Abstract Summary B-cell receptor (BCR) and T-cell receptor (TCR) repertoires are generated through somatic DNA rearrangements and are responsible for the molecular basis of antigen recognition in the immune system. Next-generation sequencing (NGS) of DNA and the falling cost of sequencing due to continued development of these technologies have made sequencing assays an affordable way to characterize the repertoire of adaptive immune receptors (sometimes termed the ‘immunome’). Many new workflows have been developed to take advantage of NGS and have placed the resulting immunome datasets in the public domain. The scale of these NGS datasets has made it challenging to search through the Complementarity-determining region 3 (CDR3), which is responsible for imparting specific antibody-antigen interactions. Thus, there is an increasing demand for sequence analysis tools capable of searching through CDR3s from immunome data collections containing millions of sequences. To address this need, we created a software package called ClonoMatch that facilitates rapid searches in bulk immunome data for BCR or TCR sequences based on their CDR3 sequence or V3J clonotype. Availability and implementation Documentation, software support and the codebase are all available at https://github.com/crowelab/clonomatch. This software is distributed under the GPL v3 license.

Funder

National Institutes of Health

Human Vaccines Project

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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