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miRBase Tracker: keeping track of microRNA annotation changes
Since 2002, information on individual microRNAs (miRNAs), such as reference names and sequences, has been stored in miRBase, the reference database for miRNA annotation. As a result of progressive insights into the miRNome and its complexity, miRBase underwent addition and deletion of miRNA records,...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4142392/ https://www.ncbi.nlm.nih.gov/pubmed/25157074 http://dx.doi.org/10.1093/database/bau080 |
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author | Van Peer, Gert Lefever, Steve Anckaert, Jasper Beckers, Anneleen Rihani, Ali Van Goethem, Alan Volders, Pieter-Jan Zeka, Fjoralba Ongenaert, Maté Mestdagh, Pieter Vandesompele, Jo |
author_facet | Van Peer, Gert Lefever, Steve Anckaert, Jasper Beckers, Anneleen Rihani, Ali Van Goethem, Alan Volders, Pieter-Jan Zeka, Fjoralba Ongenaert, Maté Mestdagh, Pieter Vandesompele, Jo |
author_sort | Van Peer, Gert |
collection | PubMed |
description | Since 2002, information on individual microRNAs (miRNAs), such as reference names and sequences, has been stored in miRBase, the reference database for miRNA annotation. As a result of progressive insights into the miRNome and its complexity, miRBase underwent addition and deletion of miRNA records, changes in annotated miRNA sequences and adoption of more complex naming schemes over time. Unfortunately, miRBase does not allow straightforward assessment of these ongoing miRNA annotation changes, which has resulted in substantial ambiguity regarding miRNA identity and sequence in public literature, in target prediction databases and in content on various commercially available analytical platforms. As a result, correct interpretation, comparison and integration of miRNA study results are compromised, which we demonstrate here by assessing the impact of ignoring sequence annotation changes. To address this problem, we developed miRBase Tracker (www.mirbasetracker.org), an easy-to-use online database that keeps track of all historical and current miRNA annotation present in the miRBase database. Three basic functionalities allow researchers to keep their miRNA annotation up-to-date, reannotate analytical miRNA platforms and link published results with outdated annotation to the latest miRBase release. We expect miRBase Tracker to increase the transparency and annotation accuracy in the field of miRNA research. Database URL: www.mirbasetracker.org |
format | Online Article Text |
id | pubmed-4142392 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-41423922014-08-26 miRBase Tracker: keeping track of microRNA annotation changes Van Peer, Gert Lefever, Steve Anckaert, Jasper Beckers, Anneleen Rihani, Ali Van Goethem, Alan Volders, Pieter-Jan Zeka, Fjoralba Ongenaert, Maté Mestdagh, Pieter Vandesompele, Jo Database (Oxford) Original Article Since 2002, information on individual microRNAs (miRNAs), such as reference names and sequences, has been stored in miRBase, the reference database for miRNA annotation. As a result of progressive insights into the miRNome and its complexity, miRBase underwent addition and deletion of miRNA records, changes in annotated miRNA sequences and adoption of more complex naming schemes over time. Unfortunately, miRBase does not allow straightforward assessment of these ongoing miRNA annotation changes, which has resulted in substantial ambiguity regarding miRNA identity and sequence in public literature, in target prediction databases and in content on various commercially available analytical platforms. As a result, correct interpretation, comparison and integration of miRNA study results are compromised, which we demonstrate here by assessing the impact of ignoring sequence annotation changes. To address this problem, we developed miRBase Tracker (www.mirbasetracker.org), an easy-to-use online database that keeps track of all historical and current miRNA annotation present in the miRBase database. Three basic functionalities allow researchers to keep their miRNA annotation up-to-date, reannotate analytical miRNA platforms and link published results with outdated annotation to the latest miRBase release. We expect miRBase Tracker to increase the transparency and annotation accuracy in the field of miRNA research. Database URL: www.mirbasetracker.org Oxford University Press 2014-08-24 /pmc/articles/PMC4142392/ /pubmed/25157074 http://dx.doi.org/10.1093/database/bau080 Text en © The Author(s) 2014. Published by Oxford University Press. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Van Peer, Gert Lefever, Steve Anckaert, Jasper Beckers, Anneleen Rihani, Ali Van Goethem, Alan Volders, Pieter-Jan Zeka, Fjoralba Ongenaert, Maté Mestdagh, Pieter Vandesompele, Jo miRBase Tracker: keeping track of microRNA annotation changes |
title | miRBase Tracker: keeping track of microRNA annotation changes |
title_full | miRBase Tracker: keeping track of microRNA annotation changes |
title_fullStr | miRBase Tracker: keeping track of microRNA annotation changes |
title_full_unstemmed | miRBase Tracker: keeping track of microRNA annotation changes |
title_short | miRBase Tracker: keeping track of microRNA annotation changes |
title_sort | mirbase tracker: keeping track of microrna annotation changes |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4142392/ https://www.ncbi.nlm.nih.gov/pubmed/25157074 http://dx.doi.org/10.1093/database/bau080 |
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