Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA.
Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Nat Methods. 2021 Jun;18(6):627-630. doi: 10.1038/s41592-021-01142-2. Epub 2021 May 13.
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.
我们介绍了用于从 RNA 测序 (RNA-seq) 数据中重建 αβ/γδ T 细胞和 B 细胞中免疫受体库的 TRUST4 开源算法。与竞争方法相比，TRUST4 同时支持 FASTQ 和 BAM 格式，在组装更长的——甚至全长的受体库时速度更快、灵敏度更高。TRUST4 还可以从无需 V(D)J 富集的单细胞 RNA-seq (scRNA-seq) 数据中调用受体库序列，并且与 SMART-seq 和 5' 10x Genomics 平台兼容。
