GIANA allows computationally-efficient TCR clustering and multi-disease repertoire classification by isometric transformation

GIANA allows computationally-efficient TCR clustering and multi-disease repertoire classification by isometric transformation

Grouping T-cell receptors (TCRs) by sequence similarity could lead to new immunological insights. Here, the authors propose a tool that allows the rapid clustering of millions of TCR sequences, identifying TCRs potentially associated with the response to cancer, infectious and autoimmune diseases.

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Autores principales: Hongyi Zhang, Xiaowei Zhan, Bo Li
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Science
Q
Acceso en línea:https://doaj.org/article/6567862dd2b246dca27592acd4fee3c0
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spelling oai:doaj.org-article:6567862dd2b246dca27592acd4fee3c02021-12-02T16:35:42ZGIANA allows computationally-efficient TCR clustering and multi-disease repertoire classification by isometric transformation10.1038/s41467-021-25006-72041-1723https://doaj.org/article/6567862dd2b246dca27592acd4fee3c02021-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-25006-7https://doaj.org/toc/2041-1723Grouping T-cell receptors (TCRs) by sequence similarity could lead to new immunological insights. Here, the authors propose a tool that allows the rapid clustering of millions of TCR sequences, identifying TCRs potentially associated with the response to cancer, infectious and autoimmune diseases.Hongyi ZhangXiaowei ZhanBo LiNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Hongyi Zhang
Xiaowei Zhan
Bo Li
GIANA allows computationally-efficient TCR clustering and multi-disease repertoire classification by isometric transformation
description Grouping T-cell receptors (TCRs) by sequence similarity could lead to new immunological insights. Here, the authors propose a tool that allows the rapid clustering of millions of TCR sequences, identifying TCRs potentially associated with the response to cancer, infectious and autoimmune diseases.
format article
author Hongyi Zhang
Xiaowei Zhan
Bo Li
author_facet Hongyi Zhang
Xiaowei Zhan
Bo Li
author_sort Hongyi Zhang
title GIANA allows computationally-efficient TCR clustering and multi-disease repertoire classification by isometric transformation
title_short GIANA allows computationally-efficient TCR clustering and multi-disease repertoire classification by isometric transformation
title_full GIANA allows computationally-efficient TCR clustering and multi-disease repertoire classification by isometric transformation
title_fullStr GIANA allows computationally-efficient TCR clustering and multi-disease repertoire classification by isometric transformation
title_full_unstemmed GIANA allows computationally-efficient TCR clustering and multi-disease repertoire classification by isometric transformation
title_sort giana allows computationally-efficient tcr clustering and multi-disease repertoire classification by isometric transformation
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/6567862dd2b246dca27592acd4fee3c0
work_keys_str_mv AT hongyizhang gianaallowscomputationallyefficienttcrclusteringandmultidiseaserepertoireclassificationbyisometrictransformation
AT xiaoweizhan gianaallowscomputationallyefficienttcrclusteringandmultidiseaserepertoireclassificationbyisometrictransformation
AT boli gianaallowscomputationallyefficienttcrclusteringandmultidiseaserepertoireclassificationbyisometrictransformation
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