AUTHOR=Ni Qingshan , Zhang Jianyang , Zheng Zihan , Chen Gang , Christian Laura , Grönholm Juha , Yu Haili , Zhou Daxue , Zhuang Yuan , Li Qi-Jing , Wan Ying 

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

JOURNAL=Frontiers in Genetics

VOLUME=Volume 11 - 2020

YEAR=2020

URL=https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2020.00771

DOI=10.3389/fgene.2020.00771

ISSN=1664-8021

ABSTRACT=Recent progress in high throughput sequencing technologies has provided an opportunity for researchers to probe T cell receptor (TCR) repertoire deeply, which brought explosive accumulation of T cell receptor sequencing data. Favorable bioinformatics tools are required to meet the demand of the related analysis task. Here VisTCR is introduced, which is a web based tool for TCR sequencing data management and analysis. VisTCR has a data storage module for collecting raw sequencing data files and making them inspection convenient. VisTCR also integrates some useful TCR parsing and analyzing methods, such as identifying gene segments from raw fastq files, visualizing clonotype distribution, diversity and similarity, performing statistical analysis, and tracking individual clones, et al. For ease of use, VisTCR provides an interactive interface that users can access all the TCR analysis methods by pointing and clicking on the interface and the results can be downloaded as tables or graphs in the process of analysis. In brief, VisTCR is an efficient, comprehensive, and user-friendly TCR sequencing data management and analysis tool. The source code is freely available at https://github.com/qingshanni/VisTCR.