Evidence map›Paper›PMID 36960963›Full record

ReviewNon-coding RNA2023

Insights into Online microRNA Bioinformatics Tools.

Diana Luna Buitrago, Ruth C Lovering, Andrea Caporali

Full text readReview
In one paragraph

Review in Non-coding RNA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. An Overview of miRNA and miRNA Target Analysis Tools.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Hepatitis B Virus and microRNAs: A Bioinformatics Approach.International journal of molecular sciences · 2023
    Review
  16. Methods and Tools in RNA Biology.Non-coding RNA · 2023
    Article
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

3 authors.

Diana Luna BuitragoBHF Centre for Cardiovascular Science, The Queen's Medical Research Institute, University of Edinburgh, Edinburgh EH164TJ, UK.
Ruth C LoveringFunctional Gene Annotation, Institute of Cardiovascular Science, University College London, London WC1E 6BT, UK.ORCID 0000-0002-9791-0064
Andrea CaporaliBHF Centre for Cardiovascular Science, The Queen's Medical Research Institute, University of Edinburgh, Edinburgh EH164TJ, UK.ORCID 0000-0003-2905-3096

Funding

British Heart Foundation PG/22/10916
6 · The paper itself

Abstract

MicroRNAs (miRNAs) are members of the small non-coding RNA family regulating gene expression at the post-transcriptional level. MiRNAs have been found to have critical roles in various biological and pathological processes. Research in this field has significantly progressed, with increased recognition of the importance of miRNA regulation. As a result of the vast data and information available regarding miRNAs, numerous online tools have emerged to address various biological questions related to their function and influence across essential cellular processes. This review includes a brief introduction to available resources for an investigation covering aspects such as miRNA sequences, target prediction/validation, miRNAs associated with disease, pathway analysis and genetic variants within miRNAs.

Indexed as

bioinformaticsdatabasemiRNAsweb-based tools

Identifiers

PMID36960963
PMCPMC10037614

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read2
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.