Ssa miRNAs DB: Online repository of in silico predicted miRNAs in Salmo salar
The Atlantic salmon (Salmo salar) is a very valuable commercial salmonid species. As with other aquaculture species, intensive aquaculture of Atlantic salmon often faces disease problems especially in early life stages which can limit stable production of the species. ‘Ssa miRNAs DB’, a bioinformati...
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Online Access: | http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3321240 http://www.ncbi.nlm.nih.gov/pubmed/22493538 https://doi.org/10.6026/97320630008284 |
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ftpubmed:oai:pubmedcentral.nih.gov:3321240 2023-05-15T15:30:12+02:00 Ssa miRNAs DB: Online repository of in silico predicted miRNAs in Salmo salar Reyes, Daniela Cepeda, Victoria González, Ruth Vidal, Rodrigo 2012-03-31 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3321240 http://www.ncbi.nlm.nih.gov/pubmed/22493538 https://doi.org/10.6026/97320630008284 en eng Biomedical Informatics http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3321240 http://www.ncbi.nlm.nih.gov/pubmed/22493538 http://dx.doi.org/10.6026/97320630008284 © 2012 Biomedical Informatics This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited. Database Text 2012 ftpubmed https://doi.org/10.6026/97320630008284 2013-09-04T05:17:01Z The Atlantic salmon (Salmo salar) is a very valuable commercial salmonid species. As with other aquaculture species, intensive aquaculture of Atlantic salmon often faces disease problems especially in early life stages which can limit stable production of the species. ‘Ssa miRNAs DB’, a bioinformatics and manually curated database, aims at providing a comprehensive resource of microRNA in Altantic salmon, with a user friendly interface for a convenient retrieval of each entry by microRNA ID or target gene. The current version of Ssa miRNAs DB involved the prediction of 41 and 266 homologous and novel microRNAs, respectively. Text Atlantic salmon Salmo salar PubMed Central (PMC) Bioinformation 8 6 284 286 |
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Database |
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Database Reyes, Daniela Cepeda, Victoria González, Ruth Vidal, Rodrigo Ssa miRNAs DB: Online repository of in silico predicted miRNAs in Salmo salar |
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Database |
description |
The Atlantic salmon (Salmo salar) is a very valuable commercial salmonid species. As with other aquaculture species, intensive aquaculture of Atlantic salmon often faces disease problems especially in early life stages which can limit stable production of the species. ‘Ssa miRNAs DB’, a bioinformatics and manually curated database, aims at providing a comprehensive resource of microRNA in Altantic salmon, with a user friendly interface for a convenient retrieval of each entry by microRNA ID or target gene. The current version of Ssa miRNAs DB involved the prediction of 41 and 266 homologous and novel microRNAs, respectively. |
format |
Text |
author |
Reyes, Daniela Cepeda, Victoria González, Ruth Vidal, Rodrigo |
author_facet |
Reyes, Daniela Cepeda, Victoria González, Ruth Vidal, Rodrigo |
author_sort |
Reyes, Daniela |
title |
Ssa miRNAs DB: Online repository of in silico predicted miRNAs in Salmo salar |
title_short |
Ssa miRNAs DB: Online repository of in silico predicted miRNAs in Salmo salar |
title_full |
Ssa miRNAs DB: Online repository of in silico predicted miRNAs in Salmo salar |
title_fullStr |
Ssa miRNAs DB: Online repository of in silico predicted miRNAs in Salmo salar |
title_full_unstemmed |
Ssa miRNAs DB: Online repository of in silico predicted miRNAs in Salmo salar |
title_sort |
ssa mirnas db: online repository of in silico predicted mirnas in salmo salar |
publisher |
Biomedical Informatics |
publishDate |
2012 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3321240 http://www.ncbi.nlm.nih.gov/pubmed/22493538 https://doi.org/10.6026/97320630008284 |
genre |
Atlantic salmon Salmo salar |
genre_facet |
Atlantic salmon Salmo salar |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3321240 http://www.ncbi.nlm.nih.gov/pubmed/22493538 http://dx.doi.org/10.6026/97320630008284 |
op_rights |
© 2012 Biomedical Informatics This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited. |
op_doi |
https://doi.org/10.6026/97320630008284 |
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Bioinformation |
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