| URL: | https://structurome.bb.iastate.edu |
| Full name: | RNA Structurome Database |
| Description: | RNA Structurome Database is a comprehensive repository of RNA secondary structural information that spans the entire human genome. 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. |
| Year founded: | 2017 |
| Last update: | |
| Version: | 26 |
| Accessibility: |
Accessible
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| Country/Region: | United States |
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| University/Institution: | Iowa State University |
| Address: | Roy J. Carver Department of Biochemistry, Biophysics, and Molecular Biology, Iowa State University, 2437 Pammel Drive, Ames, IA 50011 USA |
| City: | Ames |
| Province/State: | |
| Country/Region: | United States |
| Contact name (PI/Team): | Walter N. Moss |
| Contact email (PI/Helpdesk): | wmoss@iastate.edu |
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RNAStructuromeDB: A genome-wide database for RNA structural inference. [PMID: 29222504]
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. |