Rfam 14: expanded coverage of metagenomic, viral and microRNA families

Clicks: 1
ID: 301085
2020
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal

Ranked #1,203 of 1,217 articles by views in Nucleic Acids Research

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 1,217 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Abstract Rfam is a database of RNA families where each of the 3444 families is represented by a multiple sequence alignment of known RNA sequences and a covariance model that can be used to search for additional members of the family. Recent developments have involved expert collaborations to improve the quality and coverage of Rfam data, focusing on microRNAs, viral and bacterial RNAs. We have completed the first phase of synchronising microRNA families in Rfam and miRBase, creating 356 new Rfam families and updating 40. We established a procedure for comprehensive annotation of viral RNA families starting with Flavivirus and Coronaviridae RNAs. We have also increased the coverage of bacterial and metagenome-based RNA families from the ZWD database. These developments have enabled a significant growth of the database, with the addition of 759 new families in Rfam 14. To facilitate further community contribution to Rfam, expert users are now able to build and submit new families using the newly developed Rfam Cloud family curation system. New Rfam website features include a new sequence similarity search powered by RNAcentral, as well as search and visualisation of families with pseudoknots. Rfam is freely available at https://rfam.org.
Reference Key
openalex_W3100348855 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Ioanna Kalvari, Eric P. Nawrocki, Nancy Ontiveros‐Palacios, Joanna Argasinska, Kevin Lamkiewicz, Manja Marz, Sam Griffiths‐Jones, Claire Toffano‐Nioche, Daniel Gautheret, Zasha Weinberg, Elena Rivas, Sean R. Eddy, ROBERT FINN, Alex Bateman, Anton I. Petrov
Journal Nucleic Acids Research
Year 2020
DOI
10.1093/nar/gkaa1047
URL
https://academic.oup.com/nar/article-pdf/49/D1/D192/35364695/gkaa1047.pdf
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.