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SeedVicious: Analysis of microRNA target and near-target sites

Here I describe seedVicious, a versatile microRNA target site prediction software that can be easily fitted into annotation pipelines and run over custom datasets. SeedVicious finds microRNA canonical sites plus other, less efficient, target sites. Among other novel features, seedVicious can compute...

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Detalles Bibliográficos
Autor principal: Marco, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5903666/
https://www.ncbi.nlm.nih.gov/pubmed/29664927
http://dx.doi.org/10.1371/journal.pone.0195532
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author Marco, Antonio
author_facet Marco, Antonio
author_sort Marco, Antonio
collection PubMed
description Here I describe seedVicious, a versatile microRNA target site prediction software that can be easily fitted into annotation pipelines and run over custom datasets. SeedVicious finds microRNA canonical sites plus other, less efficient, target sites. Among other novel features, seedVicious can compute evolutionary gains/losses of target sites using maximum parsimony, and also detect near-target sites, which have one nucleotide different from a canonical site. Near-target sites are important to study population variation in microRNA regulation. Some analyses suggest that near-target sites may also be functional sites, although there is no conclusive evidence for that, and they may actually be target alleles segregating in a population. SeedVicious does not aim to outperform but to complement existing microRNA prediction tools. For instance, the precision of TargetScan is almost doubled (from 11% to ~20%) when we filter predictions by the distance between target sites using this program. Interestingly, two adjacent canonical target sites are more likely to be present in bona fide target transcripts than pairs of target sites at slightly longer distances. The software is written in Perl and runs on 64-bit Unix computers (Linux and MacOS X). Users with no computing experience can also run the program in a dedicated web-server by uploading custom data, or browse pre-computed predictions. SeedVicious and its associated web-server and database (SeedBank) are distributed under the GPL/GNU license.
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spelling pubmed-59036662018-04-27 SeedVicious: Analysis of microRNA target and near-target sites Marco, Antonio PLoS One Research Article Here I describe seedVicious, a versatile microRNA target site prediction software that can be easily fitted into annotation pipelines and run over custom datasets. SeedVicious finds microRNA canonical sites plus other, less efficient, target sites. Among other novel features, seedVicious can compute evolutionary gains/losses of target sites using maximum parsimony, and also detect near-target sites, which have one nucleotide different from a canonical site. Near-target sites are important to study population variation in microRNA regulation. Some analyses suggest that near-target sites may also be functional sites, although there is no conclusive evidence for that, and they may actually be target alleles segregating in a population. SeedVicious does not aim to outperform but to complement existing microRNA prediction tools. For instance, the precision of TargetScan is almost doubled (from 11% to ~20%) when we filter predictions by the distance between target sites using this program. Interestingly, two adjacent canonical target sites are more likely to be present in bona fide target transcripts than pairs of target sites at slightly longer distances. The software is written in Perl and runs on 64-bit Unix computers (Linux and MacOS X). Users with no computing experience can also run the program in a dedicated web-server by uploading custom data, or browse pre-computed predictions. SeedVicious and its associated web-server and database (SeedBank) are distributed under the GPL/GNU license. Public Library of Science 2018-04-17 /pmc/articles/PMC5903666/ /pubmed/29664927 http://dx.doi.org/10.1371/journal.pone.0195532 Text en © 2018 Antonio Marco http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Marco, Antonio
SeedVicious: Analysis of microRNA target and near-target sites
title SeedVicious: Analysis of microRNA target and near-target sites
title_full SeedVicious: Analysis of microRNA target and near-target sites
title_fullStr SeedVicious: Analysis of microRNA target and near-target sites
title_full_unstemmed SeedVicious: Analysis of microRNA target and near-target sites
title_short SeedVicious: Analysis of microRNA target and near-target sites
title_sort seedvicious: analysis of microrna target and near-target sites
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5903666/
https://www.ncbi.nlm.nih.gov/pubmed/29664927
http://dx.doi.org/10.1371/journal.pone.0195532
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