IRFinder-S: a comprehensive suite to discover and explore intron retention

Abstract Accurate quantification and detection of intron retention levels require specialized software. Building on our previous software, we create a suite of tools called IRFinder-S, to analyze and explore intron retention events in multiple samples. Specifically, IRFinder-S allows a better identi...

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Autores principales:	Claudio Lorenzi, Sylvain Barriere, Katharina Arnold, Reini F. Luco, Andrew J. Oldfield, William Ritchie
Formato:	article
Lenguaje:	EN
Publicado:	BMC 2021
Materias:	Intron retention Splicing efficiency RNA sequencing Biology (General) QH301-705.5 Genetics QH426-470
Acceso en línea:	https://doaj.org/article/6aefeefa1b79441d91cb3a8aab7fe382
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id	oai:doaj.org-article:6aefeefa1b79441d91cb3a8aab7fe382
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spelling	oai:doaj.org-article:6aefeefa1b79441d91cb3a8aab7fe3822021-11-14T12:42:46ZIRFinder-S: a comprehensive suite to discover and explore intron retention10.1186/s13059-021-02515-81474-760Xhttps://doaj.org/article/6aefeefa1b79441d91cb3a8aab7fe3822021-11-01T00:00:00Zhttps://doi.org/10.1186/s13059-021-02515-8https://doaj.org/toc/1474-760XAbstract Accurate quantification and detection of intron retention levels require specialized software. Building on our previous software, we create a suite of tools called IRFinder-S, to analyze and explore intron retention events in multiple samples. Specifically, IRFinder-S allows a better identification of true intron retention events using a convolutional neural network, allows the sharing of intron retention results between labs, integrates a dynamic database to explore and contrast available samples, and provides a tested method to detect differential levels of intron retention.Claudio LorenziSylvain BarriereKatharina ArnoldReini F. LucoAndrew J. OldfieldWilliam RitchieBMCarticleIntron retentionSplicing efficiencyRNA sequencingBiology (General)QH301-705.5GeneticsQH426-470ENGenome Biology, Vol 22, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Intron retention Splicing efficiency RNA sequencing Biology (General) QH301-705.5 Genetics QH426-470
spellingShingle	Intron retention Splicing efficiency RNA sequencing Biology (General) QH301-705.5 Genetics QH426-470 Claudio Lorenzi Sylvain Barriere Katharina Arnold Reini F. Luco Andrew J. Oldfield William Ritchie IRFinder-S: a comprehensive suite to discover and explore intron retention
description	Abstract Accurate quantification and detection of intron retention levels require specialized software. Building on our previous software, we create a suite of tools called IRFinder-S, to analyze and explore intron retention events in multiple samples. Specifically, IRFinder-S allows a better identification of true intron retention events using a convolutional neural network, allows the sharing of intron retention results between labs, integrates a dynamic database to explore and contrast available samples, and provides a tested method to detect differential levels of intron retention.
format	article
author	Claudio Lorenzi Sylvain Barriere Katharina Arnold Reini F. Luco Andrew J. Oldfield William Ritchie
author_facet	Claudio Lorenzi Sylvain Barriere Katharina Arnold Reini F. Luco Andrew J. Oldfield William Ritchie
author_sort	Claudio Lorenzi
title	IRFinder-S: a comprehensive suite to discover and explore intron retention
title_short	IRFinder-S: a comprehensive suite to discover and explore intron retention
title_full	IRFinder-S: a comprehensive suite to discover and explore intron retention
title_fullStr	IRFinder-S: a comprehensive suite to discover and explore intron retention
title_full_unstemmed	IRFinder-S: a comprehensive suite to discover and explore intron retention
title_sort	irfinder-s: a comprehensive suite to discover and explore intron retention
publisher	BMC
publishDate	2021
url	https://doaj.org/article/6aefeefa1b79441d91cb3a8aab7fe382
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IRFinder-S: a comprehensive suite to discover and explore intron retention

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