Cargando…

LymAnalyzer: a tool for comprehensive analysis of next generation sequencing data of T cell receptors and immunoglobulins

The adaptive immune system includes populations of B and T cells capable of binding foreign epitopes via antigen specific receptors, called immunoglobulin (IG) for B cells and the T cell receptor (TCR) for T cells. In order to provide protection from a wide range of pathogens, these cells display hi...

Descripción completa

Detalles Bibliográficos
Autores principales: Yu, Yaxuan, Ceredig, Rhodri, Seoighe, Cathal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4770197/
https://www.ncbi.nlm.nih.gov/pubmed/26446988
http://dx.doi.org/10.1093/nar/gkv1016
_version_ 1782418216591556608
author Yu, Yaxuan
Ceredig, Rhodri
Seoighe, Cathal
author_facet Yu, Yaxuan
Ceredig, Rhodri
Seoighe, Cathal
author_sort Yu, Yaxuan
collection PubMed
description The adaptive immune system includes populations of B and T cells capable of binding foreign epitopes via antigen specific receptors, called immunoglobulin (IG) for B cells and the T cell receptor (TCR) for T cells. In order to provide protection from a wide range of pathogens, these cells display highly diverse repertoires of IGs and TCRs. This is achieved through combinatorial rearrangement of multiple gene segments in addition, for B cells, to somatic hypermutation. Deep sequencing technologies have revolutionized analysis of the diversity of these repertoires; however, accurate TCR/IG diversity profiling requires specialist bioinformatics tools. Here we present LymAnalzyer, a software package that significantly improves the completeness and accuracy of TCR/IG profiling from deep sequence data and includes procedures to identify novel alleles of gene segments. On real and simulated data sets LymAnalyzer produces highly accurate and complete results. Although, to date we have applied it to TCR/IG data from human and mouse, it can be applied to data from any species for which an appropriate database of reference genes is available. Implemented in Java, it includes both a command line version and a graphical user interface and is freely available at https://sourceforge.net/projects/lymanalyzer/.
format Online
Article
Text
id pubmed-4770197
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-47701972016-02-29 LymAnalyzer: a tool for comprehensive analysis of next generation sequencing data of T cell receptors and immunoglobulins Yu, Yaxuan Ceredig, Rhodri Seoighe, Cathal Nucleic Acids Res Methods Online The adaptive immune system includes populations of B and T cells capable of binding foreign epitopes via antigen specific receptors, called immunoglobulin (IG) for B cells and the T cell receptor (TCR) for T cells. In order to provide protection from a wide range of pathogens, these cells display highly diverse repertoires of IGs and TCRs. This is achieved through combinatorial rearrangement of multiple gene segments in addition, for B cells, to somatic hypermutation. Deep sequencing technologies have revolutionized analysis of the diversity of these repertoires; however, accurate TCR/IG diversity profiling requires specialist bioinformatics tools. Here we present LymAnalzyer, a software package that significantly improves the completeness and accuracy of TCR/IG profiling from deep sequence data and includes procedures to identify novel alleles of gene segments. On real and simulated data sets LymAnalyzer produces highly accurate and complete results. Although, to date we have applied it to TCR/IG data from human and mouse, it can be applied to data from any species for which an appropriate database of reference genes is available. Implemented in Java, it includes both a command line version and a graphical user interface and is freely available at https://sourceforge.net/projects/lymanalyzer/. Oxford University Press 2016-02-29 2015-10-07 /pmc/articles/PMC4770197/ /pubmed/26446988 http://dx.doi.org/10.1093/nar/gkv1016 Text en © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methods Online
Yu, Yaxuan
Ceredig, Rhodri
Seoighe, Cathal
LymAnalyzer: a tool for comprehensive analysis of next generation sequencing data of T cell receptors and immunoglobulins
title LymAnalyzer: a tool for comprehensive analysis of next generation sequencing data of T cell receptors and immunoglobulins
title_full LymAnalyzer: a tool for comprehensive analysis of next generation sequencing data of T cell receptors and immunoglobulins
title_fullStr LymAnalyzer: a tool for comprehensive analysis of next generation sequencing data of T cell receptors and immunoglobulins
title_full_unstemmed LymAnalyzer: a tool for comprehensive analysis of next generation sequencing data of T cell receptors and immunoglobulins
title_short LymAnalyzer: a tool for comprehensive analysis of next generation sequencing data of T cell receptors and immunoglobulins
title_sort lymanalyzer: a tool for comprehensive analysis of next generation sequencing data of t cell receptors and immunoglobulins
topic Methods Online
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4770197/
https://www.ncbi.nlm.nih.gov/pubmed/26446988
http://dx.doi.org/10.1093/nar/gkv1016
work_keys_str_mv AT yuyaxuan lymanalyzeratoolforcomprehensiveanalysisofnextgenerationsequencingdataoftcellreceptorsandimmunoglobulins
AT ceredigrhodri lymanalyzeratoolforcomprehensiveanalysisofnextgenerationsequencingdataoftcellreceptorsandimmunoglobulins
AT seoighecathal lymanalyzeratoolforcomprehensiveanalysisofnextgenerationsequencingdataoftcellreceptorsandimmunoglobulins