Evidence map›Paper›PMID 29927072›Full record

ArticleCurrent protocols in bioinformatics2018

Non-Coding RNA Analysis Using the Rfam Database.

Ioanna Kalvari, Eric P Nawrocki, Joanna Argasinska, Natalia Quinones-Olvera, Robert D Finn, Alex Bateman, Anton I Petrov

Abstract read
In one paragraph

Article in Current protocols in bioinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 258 papers.

0numbers the graph read from it
0cells of the map it votes in
258citing papers in PubMed
16.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

258 citing papers in PubMed, 481 citations in OpenAlex.

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  8. RNAP-seq:bioRxiv : the preprint server for biology · 2026
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  15. The chromosome-level genome of Chinese indicine cattle breed provides insights into bovine adaptation and immunity.DNA research : an international journal for rapid publication of reports on genes and genomes · 2026
    Article
  16. ERGA-BGE reference genome ofOpen research Europe · 2026
    Article
  17. Bioinformatics Approaches in Noncoding RNAs Research.Experientia supplementum (2012) · 2026
    Review
  18. Article
  19. ERGA-BGE Genome ofOpen research Europe · 2026
    Article
  20. Leveraging Foundation Models for the Characterization of Small-RNA Properties.Computational and structural biotechnology journal · 2026
    Article

198 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Ioanna KalvariEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom.
Eric P NawrockiNational Center for Biotechnology Information, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland.
Joanna ArgasinskaEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom.
Natalia Quinones-OlveraSystems Biology Graduate Program, Harvard University, Cambridge, Massachusetts.
Robert D FinnEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom.
Alex BatemanEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom.
Anton I PetrovEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom.
European Bioinformatics Institute · GBHarvard University · USNational Center for Biotechnology Information · US

Funding

Biological Sequence Quality Control and OrganizationZIBLM622435 · NLM · NATIONAL LIBRARY OF MEDICINE · PI NAWROCKI, ERIC · 2017 to 2025
$2.1M
Biotechnology and Biological Sciences Research Council BB/M011690/1Intramural NIH HHS ZIB LM622435
6 · The paper itself

Abstract

Rfam is a database of non-coding RNA families in which each family is represented by a multiple sequence alignment, a consensus secondary structure, and a covariance model. Using a combination of manual and literature-based curation and a custom software pipeline, Rfam converts descriptions of RNA families found in the scientific literature into computational models that can be used to annotate RNAs belonging to those families in any DNA or RNA sequence. Valuable research outputs that are often locked up in figures and supplementary information files are encapsulated in Rfam entries and made accessible through the Rfam Web site. The data produced by Rfam have a broad application, from genome annotation to providing training sets for algorithm development. This article gives an overview of how to search and navigate the Rfam Web site, and how to annotate sequences with RNA families. The Rfam database is freely available at http://rfam.org. © 2018 by John Wiley & Sons, Inc.

Indexed as

Databases, Nucleic AcidBase SequenceGenome, HumanHumansMolecular Sequence AnnotationNucleic Acid ConformationRiboswitchRNA, UntranslatedSequence AlignmentSequence Analysis, RNARiboswitchRNA, Untranslatedgenome annotationInfernalnon-coding RNARfamRNA family

Identifiers

PMID29927072
PMCPMC6754622
OpenAlexW2807674901

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.