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VDJServer: A Cloud-Based Analysis Portal and Data Commons for Immune Repertoire Sequences and Rearrangements

BACKGROUND: Recent technological advances in immune repertoire sequencing have created tremendous potential for advancing our understanding of adaptive immune response dynamics in various states of health and disease. Immune repertoire sequencing produces large, highly complex data sets, however, wh...

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Autores principales: Christley, Scott, Scarborough, Walter, Salinas, Eddie, Rounds, William H., Toby, Inimary T., Fonner, John M., Levin, Mikhail K., Kim, Min, Mock, Stephen A., Jordan, Christopher, Ostmeyer, Jared, Buntzman, Adam, Rubelt, Florian, Davila, Marco L., Monson, Nancy L., Scheuermann, Richard H., Cowell, Lindsay G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5953328/
https://www.ncbi.nlm.nih.gov/pubmed/29867956
http://dx.doi.org/10.3389/fimmu.2018.00976
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author Christley, Scott
Scarborough, Walter
Salinas, Eddie
Rounds, William H.
Toby, Inimary T.
Fonner, John M.
Levin, Mikhail K.
Kim, Min
Mock, Stephen A.
Jordan, Christopher
Ostmeyer, Jared
Buntzman, Adam
Rubelt, Florian
Davila, Marco L.
Monson, Nancy L.
Scheuermann, Richard H.
Cowell, Lindsay G.
author_facet Christley, Scott
Scarborough, Walter
Salinas, Eddie
Rounds, William H.
Toby, Inimary T.
Fonner, John M.
Levin, Mikhail K.
Kim, Min
Mock, Stephen A.
Jordan, Christopher
Ostmeyer, Jared
Buntzman, Adam
Rubelt, Florian
Davila, Marco L.
Monson, Nancy L.
Scheuermann, Richard H.
Cowell, Lindsay G.
author_sort Christley, Scott
collection PubMed
description BACKGROUND: Recent technological advances in immune repertoire sequencing have created tremendous potential for advancing our understanding of adaptive immune response dynamics in various states of health and disease. Immune repertoire sequencing produces large, highly complex data sets, however, which require specialized methods and software tools for their effective analysis and interpretation. RESULTS: VDJServer is a cloud-based analysis portal for immune repertoire sequence data that provide access to a suite of tools for a complete analysis workflow, including modules for preprocessing and quality control of sequence reads, V(D)J gene segment assignment, repertoire characterization, and repertoire comparison. VDJServer also provides sophisticated visualizations for exploratory analysis. It is accessible through a standard web browser via a graphical user interface designed for use by immunologists, clinicians, and bioinformatics researchers. VDJServer provides a data commons for public sharing of repertoire sequencing data, as well as private sharing of data between users. We describe the main functionality and architecture of VDJServer and demonstrate its capabilities with use cases from cancer immunology and autoimmunity. CONCLUSION: VDJServer provides a complete analysis suite for human and mouse T-cell and B-cell receptor repertoire sequencing data. The combination of its user-friendly interface and high-performance computing allows large immune repertoire sequencing projects to be analyzed with no programming or software installation required. VDJServer is a web-accessible cloud platform that provides access through a graphical user interface to a data management infrastructure, a collection of analysis tools covering all steps in an analysis, and an infrastructure for sharing data along with workflows, results, and computational provenance. VDJServer is a free, publicly available, and open-source licensed resource.
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spelling pubmed-59533282018-06-04 VDJServer: A Cloud-Based Analysis Portal and Data Commons for Immune Repertoire Sequences and Rearrangements Christley, Scott Scarborough, Walter Salinas, Eddie Rounds, William H. Toby, Inimary T. Fonner, John M. Levin, Mikhail K. Kim, Min Mock, Stephen A. Jordan, Christopher Ostmeyer, Jared Buntzman, Adam Rubelt, Florian Davila, Marco L. Monson, Nancy L. Scheuermann, Richard H. Cowell, Lindsay G. Front Immunol Immunology BACKGROUND: Recent technological advances in immune repertoire sequencing have created tremendous potential for advancing our understanding of adaptive immune response dynamics in various states of health and disease. Immune repertoire sequencing produces large, highly complex data sets, however, which require specialized methods and software tools for their effective analysis and interpretation. RESULTS: VDJServer is a cloud-based analysis portal for immune repertoire sequence data that provide access to a suite of tools for a complete analysis workflow, including modules for preprocessing and quality control of sequence reads, V(D)J gene segment assignment, repertoire characterization, and repertoire comparison. VDJServer also provides sophisticated visualizations for exploratory analysis. It is accessible through a standard web browser via a graphical user interface designed for use by immunologists, clinicians, and bioinformatics researchers. VDJServer provides a data commons for public sharing of repertoire sequencing data, as well as private sharing of data between users. We describe the main functionality and architecture of VDJServer and demonstrate its capabilities with use cases from cancer immunology and autoimmunity. CONCLUSION: VDJServer provides a complete analysis suite for human and mouse T-cell and B-cell receptor repertoire sequencing data. The combination of its user-friendly interface and high-performance computing allows large immune repertoire sequencing projects to be analyzed with no programming or software installation required. VDJServer is a web-accessible cloud platform that provides access through a graphical user interface to a data management infrastructure, a collection of analysis tools covering all steps in an analysis, and an infrastructure for sharing data along with workflows, results, and computational provenance. VDJServer is a free, publicly available, and open-source licensed resource. Frontiers Media S.A. 2018-05-08 /pmc/articles/PMC5953328/ /pubmed/29867956 http://dx.doi.org/10.3389/fimmu.2018.00976 Text en Copyright © 2018 Christley, Scarborough, Salinas, Rounds, Toby, Fonner, Levin, Kim, Mock, Jordan, Ostmeyer, Buntzman, Rubelt, Davila, Monson, Scheuermann and Cowell. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Christley, Scott
Scarborough, Walter
Salinas, Eddie
Rounds, William H.
Toby, Inimary T.
Fonner, John M.
Levin, Mikhail K.
Kim, Min
Mock, Stephen A.
Jordan, Christopher
Ostmeyer, Jared
Buntzman, Adam
Rubelt, Florian
Davila, Marco L.
Monson, Nancy L.
Scheuermann, Richard H.
Cowell, Lindsay G.
VDJServer: A Cloud-Based Analysis Portal and Data Commons for Immune Repertoire Sequences and Rearrangements
title VDJServer: A Cloud-Based Analysis Portal and Data Commons for Immune Repertoire Sequences and Rearrangements
title_full VDJServer: A Cloud-Based Analysis Portal and Data Commons for Immune Repertoire Sequences and Rearrangements
title_fullStr VDJServer: A Cloud-Based Analysis Portal and Data Commons for Immune Repertoire Sequences and Rearrangements
title_full_unstemmed VDJServer: A Cloud-Based Analysis Portal and Data Commons for Immune Repertoire Sequences and Rearrangements
title_short VDJServer: A Cloud-Based Analysis Portal and Data Commons for Immune Repertoire Sequences and Rearrangements
title_sort vdjserver: a cloud-based analysis portal and data commons for immune repertoire sequences and rearrangements
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5953328/
https://www.ncbi.nlm.nih.gov/pubmed/29867956
http://dx.doi.org/10.3389/fimmu.2018.00976
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