2020
DOI: 10.1002/cpbi.104
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Exploring Non‐Coding RNAs in RNAcentral

Abstract: Non-coding RNAs are essential for all life and carry out a wide range of functions. Information about these molecules is distributed across dozens of specialized resources. RNAcentral is a database of non-coding RNA sequences that provides a unified access point to non-coding RNA annotations from >40 member databases and helps provide insight into the function of these RNAs. This article describes different ways of accessing the data, including searching the website and retrieving the data programmatically ove… Show more

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Cited by 12 publications
(4 citation statements)
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“…2C,D). Figure 2 illustrates a secondary structure comparison of ES7 L from G. gallus (R2DT) [31] and the H. sapiens (RNAcentral database) [34]. Most noticeably, the length of tentacle d strongly differs in G. gallus where it consists of 309 nucleotides compared to 89 nucleotides in H. sapiens .…”
Section: Resultsmentioning
confidence: 99%
“…2C,D). Figure 2 illustrates a secondary structure comparison of ES7 L from G. gallus (R2DT) [31] and the H. sapiens (RNAcentral database) [34]. Most noticeably, the length of tentacle d strongly differs in G. gallus where it consists of 309 nucleotides compared to 89 nucleotides in H. sapiens .…”
Section: Resultsmentioning
confidence: 99%
“…Functional annotation and characterization of unannotated genes. The genome-guided assembly reported 13815 new genomic regions on SSRG, which were first annotated with SwissProt (Boutet et al, 2016) for protein-coding genes using the Trinotate (Ghaffari et al, 2014) pipeline; the superTranscripts missing annotations from Swiss-Prot were searched for homology with RNAcentral's plants non-coding RNA database (Sweeney et al, 2020) using BLASTN with parameters pid=90 & qcov=90 for the study of various mi-RNAs and sno-RNAs encoding genes responsible for alternative splicing and silencing. The rest of the superTranscripts that missed annotations from the above two approaches were characterized into putative protein-coding and protein non-coding categories based on their coding potentials with CPC2 (Kang et al, 2017) and further annotated with PLncDB; lncRNA database for sorghum by using BLASTN with parameters pid=90 and qcov=90.…”
Section: Methodsmentioning
confidence: 99%
“…Trimmed reads were mapped to rat mature and precursor miRNAs using the miRBase -Release 22.1. In addition, custom database for variety of ncRNA was generated by downloading published sequences from RNAcentral, a comprehensive database of ncRNA sequences [48]. Reads were annotated for matches against known ncRNAs related to Rattus norvegicus.…”
Section: Statistical and Bioinformatics Analysismentioning
confidence: 99%