MiTCR: software for T-cell receptor sequencing data analysis
Nature methods, 2013•nature.com
To the Editor: High-throughput sequencing technologies have transformed the field of
antigen receptor diversity studies, enabling deep and quantitative analysis for deciphering
adaptive immunity function in health and disease1–4. As more data are produced each year,
there is steadily growing demand for standardized analysis software. Here we report MiTCR,
an open-source software for rapid, robust and comprehensive analysis of hundreds of
millions of raw high-throughput sequencing reads containing sequences encoding human …
antigen receptor diversity studies, enabling deep and quantitative analysis for deciphering
adaptive immunity function in health and disease1–4. As more data are produced each year,
there is steadily growing demand for standardized analysis software. Here we report MiTCR,
an open-source software for rapid, robust and comprehensive analysis of hundreds of
millions of raw high-throughput sequencing reads containing sequences encoding human …
To the Editor: High-throughput sequencing technologies have transformed the field of antigen receptor diversity studies, enabling deep and quantitative analysis for deciphering adaptive immunity function in health and disease1–4. As more data are produced each year, there is steadily growing demand for standardized analysis software. Here we report MiTCR, an open-source software for rapid, robust and comprehensive analysis of hundreds of millions of raw high-throughput sequencing reads containing sequences encoding human or mouse α or β T-cell antigen receptor (TCR) chains (Supplementary Software). Raw data in FASTQ format generated via Illumina, 454 or Ion Torrent sequencing can be used as input for analysis. The only requirement is that sequence encoding conserved positions flanking the complementarity-determining region 3 (CDR3), Cys104 and Phe118 or Trp118, is covered by a sequencing read.
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