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miRBase: annotating high confidence microRNAs using deep sequencing data
We describe an update of the miRBase database (http://www.mirbase.org/), the primary microRNA sequence repository. The latest miRBase release (v20, June 2013) contains 24 521 microRNA loci from 206 species, processed to produce 30 424 mature microRNA products. The rate of deposition of novel microRN...
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/PMC3965103/ https://www.ncbi.nlm.nih.gov/pubmed/24275495 http://dx.doi.org/10.1093/nar/gkt1181 |
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author | Kozomara, Ana Griffiths-Jones, Sam |
author_facet | Kozomara, Ana Griffiths-Jones, Sam |
author_sort | Kozomara, Ana |
collection | PubMed |
description | We describe an update of the miRBase database (http://www.mirbase.org/), the primary microRNA sequence repository. The latest miRBase release (v20, June 2013) contains 24 521 microRNA loci from 206 species, processed to produce 30 424 mature microRNA products. The rate of deposition of novel microRNAs and the number of researchers involved in their discovery continue to increase, driven largely by small RNA deep sequencing experiments. In the face of these increases, and a range of microRNA annotation methods and criteria, maintaining the quality of the microRNA sequence data set is a significant challenge. Here, we describe recent developments of the miRBase database to address this issue. In particular, we describe the collation and use of deep sequencing data sets to assign levels of confidence to miRBase entries. We now provide a high confidence subset of miRBase entries, based on the pattern of mapped reads. The high confidence microRNA data set is available alongside the complete microRNA collection at http://www.mirbase.org/. We also describe embedding microRNA-specific Wikipedia pages on the miRBase website to encourage the microRNA community to contribute and share textual and functional information. |
format | Online Article Text |
id | pubmed-3965103 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-39651032014-03-25 miRBase: annotating high confidence microRNAs using deep sequencing data Kozomara, Ana Griffiths-Jones, Sam Nucleic Acids Res I. Nucleic acid sequence, structure and regulation We describe an update of the miRBase database (http://www.mirbase.org/), the primary microRNA sequence repository. The latest miRBase release (v20, June 2013) contains 24 521 microRNA loci from 206 species, processed to produce 30 424 mature microRNA products. The rate of deposition of novel microRNAs and the number of researchers involved in their discovery continue to increase, driven largely by small RNA deep sequencing experiments. In the face of these increases, and a range of microRNA annotation methods and criteria, maintaining the quality of the microRNA sequence data set is a significant challenge. Here, we describe recent developments of the miRBase database to address this issue. In particular, we describe the collation and use of deep sequencing data sets to assign levels of confidence to miRBase entries. We now provide a high confidence subset of miRBase entries, based on the pattern of mapped reads. The high confidence microRNA data set is available alongside the complete microRNA collection at http://www.mirbase.org/. We also describe embedding microRNA-specific Wikipedia pages on the miRBase website to encourage the microRNA community to contribute and share textual and functional information. Oxford University Press 2014-01-01 2013-11-25 /pmc/articles/PMC3965103/ /pubmed/24275495 http://dx.doi.org/10.1093/nar/gkt1181 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 Non-Commercial License (http://creativecommons.org/licenses/by/3.0/), which permits non-commercial reuse, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | I. Nucleic acid sequence, structure and regulation Kozomara, Ana Griffiths-Jones, Sam miRBase: annotating high confidence microRNAs using deep sequencing data |
title | miRBase: annotating high confidence microRNAs using deep sequencing data |
title_full | miRBase: annotating high confidence microRNAs using deep sequencing data |
title_fullStr | miRBase: annotating high confidence microRNAs using deep sequencing data |
title_full_unstemmed | miRBase: annotating high confidence microRNAs using deep sequencing data |
title_short | miRBase: annotating high confidence microRNAs using deep sequencing data |
title_sort | mirbase: annotating high confidence micrornas using deep sequencing data |
topic | I. Nucleic acid sequence, structure and regulation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3965103/ https://www.ncbi.nlm.nih.gov/pubmed/24275495 http://dx.doi.org/10.1093/nar/gkt1181 |
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