A multi-sample approach increases the accuracy of transcript assembly

Transcript assembly is an important step in analysis of RNA-seq data whose accuracy influences downstream quantification, detection and characterization of alternative splice variants. Here, the authors develop PsiCLASS, a transcript assembler leveraging simultaneous analysis of multiple RNA-seq sam...

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Autores principales:	Li Song, Sarven Sabunciyan, Guangyu Yang, Liliana Florea
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/e5c2fe458e40423f92d2ea2ad8d1931e
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spelling	oai:doaj.org-article:e5c2fe458e40423f92d2ea2ad8d1931e2021-12-02T15:35:07ZA multi-sample approach increases the accuracy of transcript assembly10.1038/s41467-019-12990-02041-1723https://doaj.org/article/e5c2fe458e40423f92d2ea2ad8d1931e2019-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-12990-0https://doaj.org/toc/2041-1723Transcript assembly is an important step in analysis of RNA-seq data whose accuracy influences downstream quantification, detection and characterization of alternative splice variants. Here, the authors develop PsiCLASS, a transcript assembler leveraging simultaneous analysis of multiple RNA-seq samples.Li SongSarven SabunciyanGuangyu YangLiliana FloreaNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-7 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Li Song Sarven Sabunciyan Guangyu Yang Liliana Florea A multi-sample approach increases the accuracy of transcript assembly
description	Transcript assembly is an important step in analysis of RNA-seq data whose accuracy influences downstream quantification, detection and characterization of alternative splice variants. Here, the authors develop PsiCLASS, a transcript assembler leveraging simultaneous analysis of multiple RNA-seq samples.
format	article
author	Li Song Sarven Sabunciyan Guangyu Yang Liliana Florea
author_facet	Li Song Sarven Sabunciyan Guangyu Yang Liliana Florea
author_sort	Li Song
title	A multi-sample approach increases the accuracy of transcript assembly
title_short	A multi-sample approach increases the accuracy of transcript assembly
title_full	A multi-sample approach increases the accuracy of transcript assembly
title_fullStr	A multi-sample approach increases the accuracy of transcript assembly
title_full_unstemmed	A multi-sample approach increases the accuracy of transcript assembly
title_sort	multi-sample approach increases the accuracy of transcript assembly
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/e5c2fe458e40423f92d2ea2ad8d1931e
work_keys_str_mv	AT lisong amultisampleapproachincreasestheaccuracyoftranscriptassembly AT sarvensabunciyan amultisampleapproachincreasestheaccuracyoftranscriptassembly AT guangyuyang amultisampleapproachincreasestheaccuracyoftranscriptassembly AT lilianaflorea amultisampleapproachincreasestheaccuracyoftranscriptassembly AT lisong multisampleapproachincreasestheaccuracyoftranscriptassembly AT sarvensabunciyan multisampleapproachincreasestheaccuracyoftranscriptassembly AT guangyuyang multisampleapproachincreasestheaccuracyoftranscriptassembly AT lilianaflorea multisampleapproachincreasestheaccuracyoftranscriptassembly
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A multi-sample approach increases the accuracy of transcript assembly

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