Aptardi predicts polyadenylation sites in sample-specific transcriptomes using high-throughput RNA sequencing and DNA sequence

Short read RNA sequencing and DNA sequence contain useful information for profiling polyadenylation sites, but each also possesses inherent limitations when examined independently. Aptardi combines these data and significantly improves annotation of polyadenylation sites in the expressed transcripto...

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Autores principales:	Ryan Lusk, Evan Stene, Farnoush Banaei-Kashani, Boris Tabakoff, Katerina Kechris, Laura M. Saba
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/9d3919771b8c438f993db2d71ff15956
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spelling	oai:doaj.org-article:9d3919771b8c438f993db2d71ff159562021-12-02T15:52:28ZAptardi predicts polyadenylation sites in sample-specific transcriptomes using high-throughput RNA sequencing and DNA sequence10.1038/s41467-021-21894-x2041-1723https://doaj.org/article/9d3919771b8c438f993db2d71ff159562021-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-21894-xhttps://doaj.org/toc/2041-1723Short read RNA sequencing and DNA sequence contain useful information for profiling polyadenylation sites, but each also possesses inherent limitations when examined independently. Aptardi combines these data and significantly improves annotation of polyadenylation sites in the expressed transcriptome.Ryan LuskEvan SteneFarnoush Banaei-KashaniBoris TabakoffKaterina KechrisLaura M. SabaNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Ryan Lusk Evan Stene Farnoush Banaei-Kashani Boris Tabakoff Katerina Kechris Laura M. Saba Aptardi predicts polyadenylation sites in sample-specific transcriptomes using high-throughput RNA sequencing and DNA sequence
description	Short read RNA sequencing and DNA sequence contain useful information for profiling polyadenylation sites, but each also possesses inherent limitations when examined independently. Aptardi combines these data and significantly improves annotation of polyadenylation sites in the expressed transcriptome.
format	article
author	Ryan Lusk Evan Stene Farnoush Banaei-Kashani Boris Tabakoff Katerina Kechris Laura M. Saba
author_facet	Ryan Lusk Evan Stene Farnoush Banaei-Kashani Boris Tabakoff Katerina Kechris Laura M. Saba
author_sort	Ryan Lusk
title	Aptardi predicts polyadenylation sites in sample-specific transcriptomes using high-throughput RNA sequencing and DNA sequence
title_short	Aptardi predicts polyadenylation sites in sample-specific transcriptomes using high-throughput RNA sequencing and DNA sequence
title_full	Aptardi predicts polyadenylation sites in sample-specific transcriptomes using high-throughput RNA sequencing and DNA sequence
title_fullStr	Aptardi predicts polyadenylation sites in sample-specific transcriptomes using high-throughput RNA sequencing and DNA sequence
title_full_unstemmed	Aptardi predicts polyadenylation sites in sample-specific transcriptomes using high-throughput RNA sequencing and DNA sequence
title_sort	aptardi predicts polyadenylation sites in sample-specific transcriptomes using high-throughput rna sequencing and dna sequence
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/9d3919771b8c438f993db2d71ff15956
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Aptardi predicts polyadenylation sites in sample-specific transcriptomes using high-throughput RNA sequencing and DNA sequence

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