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VisTCR: An Interactive Software for T Cell Repertoire Sequencing Data Analysis

Recent progress in high throughput sequencing technologies has provided an opportunity to probe T cell receptor (TCR) repertoire, bringing about an explosion of TCR sequencing data and analysis tools. For easier and more heuristic analysis TCR sequencing data, we developed a client-based HTML progra...

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Autores principales: Ni, Qingshan, Zhang, Jianyang, Zheng, Zihan, Chen, Gang, Christian, Laura, Grönholm, Juha, Yu, Haili, Zhou, Daxue, Zhuang, Yuan, Li, Qi-Jing, Wan, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7416706/
https://www.ncbi.nlm.nih.gov/pubmed/32849789
http://dx.doi.org/10.3389/fgene.2020.00771
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author Ni, Qingshan
Zhang, Jianyang
Zheng, Zihan
Chen, Gang
Christian, Laura
Grönholm, Juha
Yu, Haili
Zhou, Daxue
Zhuang, Yuan
Li, Qi-Jing
Wan, Ying
author_facet Ni, Qingshan
Zhang, Jianyang
Zheng, Zihan
Chen, Gang
Christian, Laura
Grönholm, Juha
Yu, Haili
Zhou, Daxue
Zhuang, Yuan
Li, Qi-Jing
Wan, Ying
author_sort Ni, Qingshan
collection PubMed
description Recent progress in high throughput sequencing technologies has provided an opportunity to probe T cell receptor (TCR) repertoire, bringing about an explosion of TCR sequencing data and analysis tools. For easier and more heuristic analysis TCR sequencing data, we developed a client-based HTML program (VisTCR). It has a data storage module and a data analysis module that integrate multiple cutting-edge analysis algorithms in a hierarchical fashion. Researchers can group and re-group samples for different analysis purposes by customized “Experiment Design File.” Moreover, the VisTCR provides a user-friendly interactive interface, by all the TCR analysis methods and visualization results can be accessed and saved as tables or graphs in the process of analysis. The source code is freely available at https://github.com/qingshanni/VisTCR.
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spelling pubmed-74167062020-08-25 VisTCR: An Interactive Software for T Cell Repertoire Sequencing Data Analysis Ni, Qingshan Zhang, Jianyang Zheng, Zihan Chen, Gang Christian, Laura Grönholm, Juha Yu, Haili Zhou, Daxue Zhuang, Yuan Li, Qi-Jing Wan, Ying Front Genet Genetics Recent progress in high throughput sequencing technologies has provided an opportunity to probe T cell receptor (TCR) repertoire, bringing about an explosion of TCR sequencing data and analysis tools. For easier and more heuristic analysis TCR sequencing data, we developed a client-based HTML program (VisTCR). It has a data storage module and a data analysis module that integrate multiple cutting-edge analysis algorithms in a hierarchical fashion. Researchers can group and re-group samples for different analysis purposes by customized “Experiment Design File.” Moreover, the VisTCR provides a user-friendly interactive interface, by all the TCR analysis methods and visualization results can be accessed and saved as tables or graphs in the process of analysis. The source code is freely available at https://github.com/qingshanni/VisTCR. Frontiers Media S.A. 2020-07-21 /pmc/articles/PMC7416706/ /pubmed/32849789 http://dx.doi.org/10.3389/fgene.2020.00771 Text en Copyright © 2020 Ni, Zhang, Zheng, Chen, Christian, Grönholm, Yu, Zhou, Zhuang, Li and Wan. http://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(s) 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 Genetics
Ni, Qingshan
Zhang, Jianyang
Zheng, Zihan
Chen, Gang
Christian, Laura
Grönholm, Juha
Yu, Haili
Zhou, Daxue
Zhuang, Yuan
Li, Qi-Jing
Wan, Ying
VisTCR: An Interactive Software for T Cell Repertoire Sequencing Data Analysis
title VisTCR: An Interactive Software for T Cell Repertoire Sequencing Data Analysis
title_full VisTCR: An Interactive Software for T Cell Repertoire Sequencing Data Analysis
title_fullStr VisTCR: An Interactive Software for T Cell Repertoire Sequencing Data Analysis
title_full_unstemmed VisTCR: An Interactive Software for T Cell Repertoire Sequencing Data Analysis
title_short VisTCR: An Interactive Software for T Cell Repertoire Sequencing Data Analysis
title_sort vistcr: an interactive software for t cell repertoire sequencing data analysis
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7416706/
https://www.ncbi.nlm.nih.gov/pubmed/32849789
http://dx.doi.org/10.3389/fgene.2020.00771
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