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RNAStructuromeDB: A genome-wide database for RNA structural inference
RNA plays important roles in almost every aspect of biology, and every aspect of RNA biology is influenced by its folding. This is a particularly important consideration in the era of high-throughput sequencing, when the discovery of novel transcripts far outpaces our knowledge of their functions. T...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5722888/ https://www.ncbi.nlm.nih.gov/pubmed/29222504 http://dx.doi.org/10.1038/s41598-017-17510-y |
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author | Andrews, Ryan J. Baber, Levi Moss, Walter N. |
author_facet | Andrews, Ryan J. Baber, Levi Moss, Walter N. |
author_sort | Andrews, Ryan J. |
collection | PubMed |
description | RNA plays important roles in almost every aspect of biology, and every aspect of RNA biology is influenced by its folding. This is a particularly important consideration in the era of high-throughput sequencing, when the discovery of novel transcripts far outpaces our knowledge of their functions. To gain a comprehensive picture of biology requires a structural framework for making functional inferences on RNA. To this end we have developed the RNA Structurome Database (https://structurome.bb.iastate.edu), a comprehensive repository of RNA secondary structural information that spans the entire human genome. Here, we compile folding information for every base pair of the genome that may be transcribed: coding, noncoding, and intergenic regions, as well as repetitive elements, telomeres, etc. This was done by fragmenting the GRCh38 reference genome into 154,414,320 overlapping sequence fragments and, for each fragment, calculating a set of metrics based on the sequence’s folding properties. These data will facilitate a wide array of investigations: e.g. discovery of structured regulatory elements in differential gene expression data or noncoding RNA discovery, as well as allow genome-scale analyses of RNA folding. |
format | Online Article Text |
id | pubmed-5722888 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-57228882017-12-12 RNAStructuromeDB: A genome-wide database for RNA structural inference Andrews, Ryan J. Baber, Levi Moss, Walter N. Sci Rep Article RNA plays important roles in almost every aspect of biology, and every aspect of RNA biology is influenced by its folding. This is a particularly important consideration in the era of high-throughput sequencing, when the discovery of novel transcripts far outpaces our knowledge of their functions. To gain a comprehensive picture of biology requires a structural framework for making functional inferences on RNA. To this end we have developed the RNA Structurome Database (https://structurome.bb.iastate.edu), a comprehensive repository of RNA secondary structural information that spans the entire human genome. Here, we compile folding information for every base pair of the genome that may be transcribed: coding, noncoding, and intergenic regions, as well as repetitive elements, telomeres, etc. This was done by fragmenting the GRCh38 reference genome into 154,414,320 overlapping sequence fragments and, for each fragment, calculating a set of metrics based on the sequence’s folding properties. These data will facilitate a wide array of investigations: e.g. discovery of structured regulatory elements in differential gene expression data or noncoding RNA discovery, as well as allow genome-scale analyses of RNA folding. Nature Publishing Group UK 2017-12-08 /pmc/articles/PMC5722888/ /pubmed/29222504 http://dx.doi.org/10.1038/s41598-017-17510-y Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Andrews, Ryan J. Baber, Levi Moss, Walter N. RNAStructuromeDB: A genome-wide database for RNA structural inference |
title | RNAStructuromeDB: A genome-wide database for RNA structural inference |
title_full | RNAStructuromeDB: A genome-wide database for RNA structural inference |
title_fullStr | RNAStructuromeDB: A genome-wide database for RNA structural inference |
title_full_unstemmed | RNAStructuromeDB: A genome-wide database for RNA structural inference |
title_short | RNAStructuromeDB: A genome-wide database for RNA structural inference |
title_sort | rnastructuromedb: a genome-wide database for rna structural inference |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5722888/ https://www.ncbi.nlm.nih.gov/pubmed/29222504 http://dx.doi.org/10.1038/s41598-017-17510-y |
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