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Published on: January 10, 2019
TRUST4: immune repertoire reconstruction from bulk and single-cell RNA-seq data
Li Song1,2, David Cohen1, Zhangyi Ouyang3
1Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA.
Abstract:
We introduce the TRUST4 open-source algorithm for reconstruction of immune receptor repertoires in αβ/γδ T cells and B cells from RNA-sequencing (RNA-seq) data. Compared with competing methods, TRUST4 supports both FASTQ and BAM format and is faster and more sensitive in assembling longer-even full-length-receptor repertoires. TRUST4 can also call repertoire sequences from single-cell RNA-seq (scRNA-seq) data without V(D)J enrichment, and is compatible with both SMART-seq and 5' 10x Genomics platforms.

