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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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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. |
format | Online Article Text |
id | pubmed-7416706 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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