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Databases and resources for human small non-coding RNAs
Recent advances in high-throughput sequencing have facilitated the genome-wide studies of small non-coding RNAs (sRNAs). Numerous studies have highlighted the role of various classes of sRNAs at different levels of gene regulation and disease. The fast growth of sequence data and the diversity of sR...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3500172/ https://www.ncbi.nlm.nih.gov/pubmed/21504869 http://dx.doi.org/10.1186/1479-7364-5-3-192 |
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author | Agirre, Eneritz Eyras, Eduardo |
author_facet | Agirre, Eneritz Eyras, Eduardo |
author_sort | Agirre, Eneritz |
collection | PubMed |
description | Recent advances in high-throughput sequencing have facilitated the genome-wide studies of small non-coding RNAs (sRNAs). Numerous studies have highlighted the role of various classes of sRNAs at different levels of gene regulation and disease. The fast growth of sequence data and the diversity of sRNA species have prompted the need to organise them in annotation databases. There are currently several databases that collect sRNA data. Various tools are provided for access, with special emphasis on the well-characterised family of micro-RNAs. The striking heterogeneity of the new classes of sRNAs and the lack of sufficient functional annotation, however, make integration of these datasets a difficult task. This review describes the currently available databases for human sRNAs that are accessible via the internet, and some of the large datasets for human sRNAs from high-throughput sequencing experiments that are so far only available as supplementary data in publications. Some of the main issues related to the integration and annotation of sRNA datasets are also discussed. |
format | Online Article Text |
id | pubmed-3500172 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-35001722012-11-17 Databases and resources for human small non-coding RNAs Agirre, Eneritz Eyras, Eduardo Hum Genomics Software Review Recent advances in high-throughput sequencing have facilitated the genome-wide studies of small non-coding RNAs (sRNAs). Numerous studies have highlighted the role of various classes of sRNAs at different levels of gene regulation and disease. The fast growth of sequence data and the diversity of sRNA species have prompted the need to organise them in annotation databases. There are currently several databases that collect sRNA data. Various tools are provided for access, with special emphasis on the well-characterised family of micro-RNAs. The striking heterogeneity of the new classes of sRNAs and the lack of sufficient functional annotation, however, make integration of these datasets a difficult task. This review describes the currently available databases for human sRNAs that are accessible via the internet, and some of the large datasets for human sRNAs from high-throughput sequencing experiments that are so far only available as supplementary data in publications. Some of the main issues related to the integration and annotation of sRNA datasets are also discussed. BioMed Central 2011-03-01 /pmc/articles/PMC3500172/ /pubmed/21504869 http://dx.doi.org/10.1186/1479-7364-5-3-192 Text en Copyright ©2011 Henry Stewart Publications |
spellingShingle | Software Review Agirre, Eneritz Eyras, Eduardo Databases and resources for human small non-coding RNAs |
title | Databases and resources for human small non-coding RNAs |
title_full | Databases and resources for human small non-coding RNAs |
title_fullStr | Databases and resources for human small non-coding RNAs |
title_full_unstemmed | Databases and resources for human small non-coding RNAs |
title_short | Databases and resources for human small non-coding RNAs |
title_sort | databases and resources for human small non-coding rnas |
topic | Software Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3500172/ https://www.ncbi.nlm.nih.gov/pubmed/21504869 http://dx.doi.org/10.1186/1479-7364-5-3-192 |
work_keys_str_mv | AT agirreeneritz databasesandresourcesforhumansmallnoncodingrnas AT eyraseduardo databasesandresourcesforhumansmallnoncodingrnas |