TRUST4: immune repertoire reconstruction from bulk and single-cell RNA-seq data.

Li SongDavid CohenZhangyi OuyangYang CaoXihao HuX Shirley Liu

Published in: Nature methods (2021)

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.

Keyphrases

rna seq
single cell
high throughput
electronic health record
health information
big data
machine learning
healthcare
deep learning
gene expression
data analysis
dna methylation
neural network