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ReorientExpress: reference-free orientation of nanopore cDNA reads with deep learning

We describe ReorientExpress, a method to perform reference-free orientation of transcriptomic long sequencing reads. ReorientExpress uses deep learning to correctly predict the orientation of the majority of reads, and in particular when trained on a closely related species or in combination with re...

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Autores principales: Ruiz-Reche, Angel, Srivastava, Akanksha, Indi, Joel A., de la Rubia, Ivan, Eyras, Eduardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6883653/
https://www.ncbi.nlm.nih.gov/pubmed/31783882
http://dx.doi.org/10.1186/s13059-019-1884-z
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author Ruiz-Reche, Angel
Srivastava, Akanksha
Indi, Joel A.
de la Rubia, Ivan
Eyras, Eduardo
author_facet Ruiz-Reche, Angel
Srivastava, Akanksha
Indi, Joel A.
de la Rubia, Ivan
Eyras, Eduardo
author_sort Ruiz-Reche, Angel
collection PubMed
description We describe ReorientExpress, a method to perform reference-free orientation of transcriptomic long sequencing reads. ReorientExpress uses deep learning to correctly predict the orientation of the majority of reads, and in particular when trained on a closely related species or in combination with read clustering. ReorientExpress enables long-read transcriptomics in non-model organisms and samples without a genome reference without using additional technologies and is available at https://github.com/comprna/reorientexpress.
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spelling pubmed-68836532019-12-03 ReorientExpress: reference-free orientation of nanopore cDNA reads with deep learning Ruiz-Reche, Angel Srivastava, Akanksha Indi, Joel A. de la Rubia, Ivan Eyras, Eduardo Genome Biol Method We describe ReorientExpress, a method to perform reference-free orientation of transcriptomic long sequencing reads. ReorientExpress uses deep learning to correctly predict the orientation of the majority of reads, and in particular when trained on a closely related species or in combination with read clustering. ReorientExpress enables long-read transcriptomics in non-model organisms and samples without a genome reference without using additional technologies and is available at https://github.com/comprna/reorientexpress. BioMed Central 2019-11-29 /pmc/articles/PMC6883653/ /pubmed/31783882 http://dx.doi.org/10.1186/s13059-019-1884-z Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Method
Ruiz-Reche, Angel
Srivastava, Akanksha
Indi, Joel A.
de la Rubia, Ivan
Eyras, Eduardo
ReorientExpress: reference-free orientation of nanopore cDNA reads with deep learning
title ReorientExpress: reference-free orientation of nanopore cDNA reads with deep learning
title_full ReorientExpress: reference-free orientation of nanopore cDNA reads with deep learning
title_fullStr ReorientExpress: reference-free orientation of nanopore cDNA reads with deep learning
title_full_unstemmed ReorientExpress: reference-free orientation of nanopore cDNA reads with deep learning
title_short ReorientExpress: reference-free orientation of nanopore cDNA reads with deep learning
title_sort reorientexpress: reference-free orientation of nanopore cdna reads with deep learning
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6883653/
https://www.ncbi.nlm.nih.gov/pubmed/31783882
http://dx.doi.org/10.1186/s13059-019-1884-z
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