RefShannon: A genome-guided transcriptome assembler using sparse flow decomposition.

High throughput sequencing of RNA (RNA-Seq) has become a staple in modern molecular biology, with applications not only in quantifying gene expression but also in isoform-level analysis of the RNA transcripts. To enable such an isoform-level analysis, a transcriptome assembly algorithm is utilized t...

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Main Authors: Shunfu Mao, Lior Pachter, David Tse, Sreeram Kannan
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0232946
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author Shunfu Mao
Lior Pachter
David Tse
Sreeram Kannan
author_facet Shunfu Mao
Lior Pachter
David Tse
Sreeram Kannan
author_sort Shunfu Mao
collection DOAJ
description High throughput sequencing of RNA (RNA-Seq) has become a staple in modern molecular biology, with applications not only in quantifying gene expression but also in isoform-level analysis of the RNA transcripts. To enable such an isoform-level analysis, a transcriptome assembly algorithm is utilized to stitch together the observed short reads into the corresponding transcripts. This task is complicated due to the complexity of alternative splicing - a mechanism by which the same gene may generate multiple distinct RNA transcripts. We develop a novel genome-guided transcriptome assembler, RefShannon, that exploits the varying abundances of the different transcripts, in enabling an accurate reconstruction of the transcripts. Our evaluation shows RefShannon is able to improve sensitivity effectively (up to 22%) at a given specificity in comparison with other state-of-the-art assemblers. RefShannon is written in Python and is available from Github (https://github.com/shunfumao/RefShannon).
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spelling doaj.art-3acb59245c7d400fbb7ff84962cfccc32022-12-21T23:09:16ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-01156e023294610.1371/journal.pone.0232946RefShannon: A genome-guided transcriptome assembler using sparse flow decomposition.Shunfu MaoLior PachterDavid TseSreeram KannanHigh throughput sequencing of RNA (RNA-Seq) has become a staple in modern molecular biology, with applications not only in quantifying gene expression but also in isoform-level analysis of the RNA transcripts. To enable such an isoform-level analysis, a transcriptome assembly algorithm is utilized to stitch together the observed short reads into the corresponding transcripts. This task is complicated due to the complexity of alternative splicing - a mechanism by which the same gene may generate multiple distinct RNA transcripts. We develop a novel genome-guided transcriptome assembler, RefShannon, that exploits the varying abundances of the different transcripts, in enabling an accurate reconstruction of the transcripts. Our evaluation shows RefShannon is able to improve sensitivity effectively (up to 22%) at a given specificity in comparison with other state-of-the-art assemblers. RefShannon is written in Python and is available from Github (https://github.com/shunfumao/RefShannon).https://doi.org/10.1371/journal.pone.0232946
spellingShingle Shunfu Mao
Lior Pachter
David Tse
Sreeram Kannan
RefShannon: A genome-guided transcriptome assembler using sparse flow decomposition.
PLoS ONE
title RefShannon: A genome-guided transcriptome assembler using sparse flow decomposition.
title_full RefShannon: A genome-guided transcriptome assembler using sparse flow decomposition.
title_fullStr RefShannon: A genome-guided transcriptome assembler using sparse flow decomposition.
title_full_unstemmed RefShannon: A genome-guided transcriptome assembler using sparse flow decomposition.
title_short RefShannon: A genome-guided transcriptome assembler using sparse flow decomposition.
title_sort refshannon a genome guided transcriptome assembler using sparse flow decomposition
url https://doi.org/10.1371/journal.pone.0232946
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