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Automated analysis of immunoglobulin genes from high-throughput sequencing: life without a template

BACKGROUND: Immunoglobulin (that is, antibody) and T cell receptor genes are created through somatic gene rearrangement from gene segment libraries. Immunoglobulin genes are further diversified by somatic hypermutation and selection during the immune response. Studying the repertoires of these genes...

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Autores principales: Michaeli, Miri, Barak, Michal, Hazanov, Lena, Noga, Hila, Mehr, Ramit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3846367/
https://www.ncbi.nlm.nih.gov/pubmed/23977981
http://dx.doi.org/10.1186/2043-9113-3-15
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author Michaeli, Miri
Barak, Michal
Hazanov, Lena
Noga, Hila
Mehr, Ramit
author_facet Michaeli, Miri
Barak, Michal
Hazanov, Lena
Noga, Hila
Mehr, Ramit
author_sort Michaeli, Miri
collection PubMed
description BACKGROUND: Immunoglobulin (that is, antibody) and T cell receptor genes are created through somatic gene rearrangement from gene segment libraries. Immunoglobulin genes are further diversified by somatic hypermutation and selection during the immune response. Studying the repertoires of these genes yields valuable insights into immune system function in infections, aging, autoimmune diseases and cancers. The introduction of high throughput sequencing has generated unprecedented amounts of repertoire and mutation data from immunoglobulin genes. However, common analysis programs are not appropriate for pre-processing and analyzing these data due to the lack of a template or reference for the whole gene. RESULTS: We present here the automated analysis pipeline we created for this purpose, which integrates various software packages of our own development and others’, and demonstrate its performance. CONCLUSIONS: Our analysis pipeline presented here is highly modular, and makes it possible to analyze the data resulting from high-throughput sequencing of immunoglobulin genes, in spite of the lack of a template gene. An executable version of the Automation program (and its source code) is freely available for downloading from our website: http://immsilico2.lnx.biu.ac.il/Software.html.
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spelling pubmed-38463672013-12-03 Automated analysis of immunoglobulin genes from high-throughput sequencing: life without a template Michaeli, Miri Barak, Michal Hazanov, Lena Noga, Hila Mehr, Ramit J Clin Bioinforma Methodology BACKGROUND: Immunoglobulin (that is, antibody) and T cell receptor genes are created through somatic gene rearrangement from gene segment libraries. Immunoglobulin genes are further diversified by somatic hypermutation and selection during the immune response. Studying the repertoires of these genes yields valuable insights into immune system function in infections, aging, autoimmune diseases and cancers. The introduction of high throughput sequencing has generated unprecedented amounts of repertoire and mutation data from immunoglobulin genes. However, common analysis programs are not appropriate for pre-processing and analyzing these data due to the lack of a template or reference for the whole gene. RESULTS: We present here the automated analysis pipeline we created for this purpose, which integrates various software packages of our own development and others’, and demonstrate its performance. CONCLUSIONS: Our analysis pipeline presented here is highly modular, and makes it possible to analyze the data resulting from high-throughput sequencing of immunoglobulin genes, in spite of the lack of a template gene. An executable version of the Automation program (and its source code) is freely available for downloading from our website: http://immsilico2.lnx.biu.ac.il/Software.html. BioMed Central 2013-08-27 /pmc/articles/PMC3846367/ /pubmed/23977981 http://dx.doi.org/10.1186/2043-9113-3-15 Text en Copyright © 2013 Michaeli et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methodology
Michaeli, Miri
Barak, Michal
Hazanov, Lena
Noga, Hila
Mehr, Ramit
Automated analysis of immunoglobulin genes from high-throughput sequencing: life without a template
title Automated analysis of immunoglobulin genes from high-throughput sequencing: life without a template
title_full Automated analysis of immunoglobulin genes from high-throughput sequencing: life without a template
title_fullStr Automated analysis of immunoglobulin genes from high-throughput sequencing: life without a template
title_full_unstemmed Automated analysis of immunoglobulin genes from high-throughput sequencing: life without a template
title_short Automated analysis of immunoglobulin genes from high-throughput sequencing: life without a template
title_sort automated analysis of immunoglobulin genes from high-throughput sequencing: life without a template
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3846367/
https://www.ncbi.nlm.nih.gov/pubmed/23977981
http://dx.doi.org/10.1186/2043-9113-3-15
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