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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Main Authors:	Li Song, Sarven Sabunciyan, Guangyu Yang, Liliana Florea
Format:	Article
Language:	English
Published:	Nature Publishing Group 2019-11-01
Series:	Nature Communications
Online Access:	https://doi.org/10.1038/s41467-019-12990-0

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spelling	doaj-e5c2fe458e40423f92d2ea2ad8d1931e2021-05-11T11:43:28ZengNature Publishing GroupNature Communications2041-17232019-11-011011710.1038/s41467-019-12990-0A multi-sample approach increases the accuracy of transcript assemblyLi Song0Sarven Sabunciyan1Guangyu Yang2Liliana Florea3McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of MedicineDepartment of Pediatrics, Johns Hopkins School of MedicineMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of MedicineMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of MedicineTranscript 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.https://doi.org/10.1038/s41467-019-12990-0
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Li Song Sarven Sabunciyan Guangyu Yang Liliana Florea
spellingShingle	Li Song Sarven Sabunciyan Guangyu Yang Liliana Florea A multi-sample approach increases the accuracy of transcript assembly Nature Communications
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 Publishing Group
series	Nature Communications
issn	2041-1723
publishDate	2019-11-01
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.
url	https://doi.org/10.1038/s41467-019-12990-0
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A multi-sample approach increases the accuracy of transcript assembly

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