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TRUST4: immune repertoire reconstruction from bulk and single-cell RNA-seq data
We introduce the TRUST4 open-source algorithm for reconstructing immune receptor repertoires in αβ/γδ T-cells and B-cells from RNA-seq data. Compared to competing methods, TRUST4 supports both FASTQ and BAM formats, is faster and more sensitive in assembling longer, even full-length, receptor repert...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9328942/ https://www.ncbi.nlm.nih.gov/pubmed/33986545 http://dx.doi.org/10.1038/s41592-021-01142-2 |
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author | Song, Li Cohen, David Ouyang, Zhangyi Cao, Yang Hu, Xihao Liu, X. Shirley |
author_facet | Song, Li Cohen, David Ouyang, Zhangyi Cao, Yang Hu, Xihao Liu, X. Shirley |
author_sort | Song, Li |
collection | PubMed |
description | We introduce the TRUST4 open-source algorithm for reconstructing immune receptor repertoires in αβ/γδ T-cells and B-cells from RNA-seq data. Compared to competing methods, TRUST4 supports both FASTQ and BAM formats, 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. |
format | Online Article Text |
id | pubmed-9328942 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
record_format | MEDLINE/PubMed |
spelling | pubmed-93289422022-07-27 TRUST4: immune repertoire reconstruction from bulk and single-cell RNA-seq data Song, Li Cohen, David Ouyang, Zhangyi Cao, Yang Hu, Xihao Liu, X. Shirley Nat Methods Article We introduce the TRUST4 open-source algorithm for reconstructing immune receptor repertoires in αβ/γδ T-cells and B-cells from RNA-seq data. Compared to competing methods, TRUST4 supports both FASTQ and BAM formats, 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. 2021-06 2021-05-13 /pmc/articles/PMC9328942/ /pubmed/33986545 http://dx.doi.org/10.1038/s41592-021-01142-2 Text en http://www.nature.com/authors/editorial_policies/license.html#termsUsers may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Song, Li Cohen, David Ouyang, Zhangyi Cao, Yang Hu, Xihao Liu, X. Shirley TRUST4: immune repertoire reconstruction from bulk and single-cell RNA-seq data |
title | TRUST4: immune repertoire reconstruction from bulk and single-cell RNA-seq data |
title_full | TRUST4: immune repertoire reconstruction from bulk and single-cell RNA-seq data |
title_fullStr | TRUST4: immune repertoire reconstruction from bulk and single-cell RNA-seq data |
title_full_unstemmed | TRUST4: immune repertoire reconstruction from bulk and single-cell RNA-seq data |
title_short | TRUST4: immune repertoire reconstruction from bulk and single-cell RNA-seq data |
title_sort | trust4: immune repertoire reconstruction from bulk and single-cell rna-seq data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9328942/ https://www.ncbi.nlm.nih.gov/pubmed/33986545 http://dx.doi.org/10.1038/s41592-021-01142-2 |
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