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miRmap web: comprehensive microRNA target prediction online

MicroRNAs (miRNAs) posttranscriptionally repress the expression of protein-coding genes. Based on the partial complementarity between miRNA and messenger RNA pairs with a mandatory so-called ‘seed’ sequence, many thousands of potential targets can be identified. Our open-source software library, miR...

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Detalles Bibliográficos
Autores principales: Vejnar, Charles E., Blum, Matthias, Zdobnov, Evgeny M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692044/
https://www.ncbi.nlm.nih.gov/pubmed/23716633
http://dx.doi.org/10.1093/nar/gkt430
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author Vejnar, Charles E.
Blum, Matthias
Zdobnov, Evgeny M.
author_facet Vejnar, Charles E.
Blum, Matthias
Zdobnov, Evgeny M.
author_sort Vejnar, Charles E.
collection PubMed
description MicroRNAs (miRNAs) posttranscriptionally repress the expression of protein-coding genes. Based on the partial complementarity between miRNA and messenger RNA pairs with a mandatory so-called ‘seed’ sequence, many thousands of potential targets can be identified. Our open-source software library, miRmap, ranks these potential targets with a biologically meaningful criterion, the repression strength. MiRmap combines thermodynamic, evolutionary, probabilistic and sequence-based features, which cover features from TargetScan, PITA, PACMIT and miRanda. Our miRmap web application offers a user-friendly and feature-rich resource for browsing precomputed miRNA target predictions for model organisms, as well as for predicting and ranking targets for user-submitted sequences. MiRmap web integrates sorting, filtering and exporting of results from multiple queries, as well as providing programmatic access, and is available at http://mirmap.ezlab.org.
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spelling pubmed-36920442013-06-25 miRmap web: comprehensive microRNA target prediction online Vejnar, Charles E. Blum, Matthias Zdobnov, Evgeny M. Nucleic Acids Res Articles MicroRNAs (miRNAs) posttranscriptionally repress the expression of protein-coding genes. Based on the partial complementarity between miRNA and messenger RNA pairs with a mandatory so-called ‘seed’ sequence, many thousands of potential targets can be identified. Our open-source software library, miRmap, ranks these potential targets with a biologically meaningful criterion, the repression strength. MiRmap combines thermodynamic, evolutionary, probabilistic and sequence-based features, which cover features from TargetScan, PITA, PACMIT and miRanda. Our miRmap web application offers a user-friendly and feature-rich resource for browsing precomputed miRNA target predictions for model organisms, as well as for predicting and ranking targets for user-submitted sequences. MiRmap web integrates sorting, filtering and exporting of results from multiple queries, as well as providing programmatic access, and is available at http://mirmap.ezlab.org. Oxford University Press 2013-07 2013-05-28 /pmc/articles/PMC3692044/ /pubmed/23716633 http://dx.doi.org/10.1093/nar/gkt430 Text en © The Author(s) 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Vejnar, Charles E.
Blum, Matthias
Zdobnov, Evgeny M.
miRmap web: comprehensive microRNA target prediction online
title miRmap web: comprehensive microRNA target prediction online
title_full miRmap web: comprehensive microRNA target prediction online
title_fullStr miRmap web: comprehensive microRNA target prediction online
title_full_unstemmed miRmap web: comprehensive microRNA target prediction online
title_short miRmap web: comprehensive microRNA target prediction online
title_sort mirmap web: comprehensive microrna target prediction online
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692044/
https://www.ncbi.nlm.nih.gov/pubmed/23716633
http://dx.doi.org/10.1093/nar/gkt430
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