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HPC-REDItools: a novel HPC-aware tool for improved large scale RNA-editing analysis
BACKGROUND: RNA editing is a widespread co-/post-transcriptional mechanism that alters primary RNA sequences through the modification of specific nucleotides and it can increase both the transcriptome and proteome diversity. The automatic detection of RNA-editing from RNA-seq data is computational i...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7446188/ https://www.ncbi.nlm.nih.gov/pubmed/32838738 http://dx.doi.org/10.1186/s12859-020-03562-x |
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author | Flati, Tiziano Gioiosa, Silvia Spallanzani, Nicola Tagliaferri, Ilario Diroma, Maria Angela Pesole, Graziano Chillemi, Giovanni Picardi, Ernesto Castrignanò, Tiziana |
author_facet | Flati, Tiziano Gioiosa, Silvia Spallanzani, Nicola Tagliaferri, Ilario Diroma, Maria Angela Pesole, Graziano Chillemi, Giovanni Picardi, Ernesto Castrignanò, Tiziana |
author_sort | Flati, Tiziano |
collection | PubMed |
description | BACKGROUND: RNA editing is a widespread co-/post-transcriptional mechanism that alters primary RNA sequences through the modification of specific nucleotides and it can increase both the transcriptome and proteome diversity. The automatic detection of RNA-editing from RNA-seq data is computational intensive and limited to small data sets, thus preventing a reliable genome-wide characterisation of such process. RESULTS: In this work we introduce HPC-REDItools, an upgraded tool for accurate RNA-editing events discovery from large dataset repositories. Availability: https://github.com/BioinfoUNIBA/REDItools2. CONCLUSIONS: HPC-REDItools is dramatically faster than the previous version, REDItools, enabling big-data analysis by means of a MPI-based implementation and scaling almost linearly with the number of available cores. |
format | Online Article Text |
id | pubmed-7446188 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74461882020-08-26 HPC-REDItools: a novel HPC-aware tool for improved large scale RNA-editing analysis Flati, Tiziano Gioiosa, Silvia Spallanzani, Nicola Tagliaferri, Ilario Diroma, Maria Angela Pesole, Graziano Chillemi, Giovanni Picardi, Ernesto Castrignanò, Tiziana BMC Bioinformatics Software BACKGROUND: RNA editing is a widespread co-/post-transcriptional mechanism that alters primary RNA sequences through the modification of specific nucleotides and it can increase both the transcriptome and proteome diversity. The automatic detection of RNA-editing from RNA-seq data is computational intensive and limited to small data sets, thus preventing a reliable genome-wide characterisation of such process. RESULTS: In this work we introduce HPC-REDItools, an upgraded tool for accurate RNA-editing events discovery from large dataset repositories. Availability: https://github.com/BioinfoUNIBA/REDItools2. CONCLUSIONS: HPC-REDItools is dramatically faster than the previous version, REDItools, enabling big-data analysis by means of a MPI-based implementation and scaling almost linearly with the number of available cores. BioMed Central 2020-08-21 /pmc/articles/PMC7446188/ /pubmed/32838738 http://dx.doi.org/10.1186/s12859-020-03562-x Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data. |
spellingShingle | Software Flati, Tiziano Gioiosa, Silvia Spallanzani, Nicola Tagliaferri, Ilario Diroma, Maria Angela Pesole, Graziano Chillemi, Giovanni Picardi, Ernesto Castrignanò, Tiziana HPC-REDItools: a novel HPC-aware tool for improved large scale RNA-editing analysis |
title | HPC-REDItools: a novel HPC-aware tool for improved large scale RNA-editing analysis |
title_full | HPC-REDItools: a novel HPC-aware tool for improved large scale RNA-editing analysis |
title_fullStr | HPC-REDItools: a novel HPC-aware tool for improved large scale RNA-editing analysis |
title_full_unstemmed | HPC-REDItools: a novel HPC-aware tool for improved large scale RNA-editing analysis |
title_short | HPC-REDItools: a novel HPC-aware tool for improved large scale RNA-editing analysis |
title_sort | hpc-reditools: a novel hpc-aware tool for improved large scale rna-editing analysis |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7446188/ https://www.ncbi.nlm.nih.gov/pubmed/32838738 http://dx.doi.org/10.1186/s12859-020-03562-x |
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