Evidence map›Paper›PMID 33339309›Full record

ReviewNon-coding RNA2020

The lncRNA Toolkit: Databases and In Silico Tools for lncRNA Analysis.

Holly R Pinkney, Brandon M Wright, Sarah D Diermeier

Abstract readReview
In one paragraph

Review in Non-coding RNA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
–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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Metamorphosis and lncRNAs: A Close Relationship.Genesis (New York, N.Y. : 2000) · 2026
    Review
  4. Bioinformatics Approaches in Noncoding RNAs Research.Experientia supplementum (2012) · 2026
    Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Review
  12. Carcinogenic roles of MAFG-AS1 in human cancers.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Review
  13. Article
  14. Analysis of lncRNAs inNon-coding RNA · 2023
    Article
  15. Decoding the regulatory roles of non-coding RNAs in cellular metabolism and disease.Molecular therapy : the journal of the American Society of Gene Therapy · 2023
    Review
  16. RNA-Chrom: a manually curated analytical database of RNA-chromatin interactome.Database : the journal of biological databases and curation · 2023
    Article
  17. Article
  18. Review
  19. Article
  20. 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.

Holly R PinkneyDepartment of Biochemistry, University of Otago, Dunedin 9016, New Zealand.ORCID 0000-0001-7448-7622
Brandon M WrightDepartment of Biochemistry, University of Otago, Dunedin 9016, New Zealand.ORCID 0000-0003-2557-6172
Sarah D DiermeierDepartment of Biochemistry, University of Otago, Dunedin 9016, New Zealand.ORCID 0000-0002-6120-2744

Funding

Royal Society Te Apārangi RDF-UOO1802
6 · The paper itself

Abstract

Long non-coding RNAs (lncRNAs) are a rapidly expanding field of research, with many new transcripts identified each year. However, only a small subset of lncRNAs has been characterized functionally thus far. To aid investigating the mechanisms of action by which new lncRNAs act, bioinformatic tools and databases are invaluable. Here, we review a selection of computational tools and databases for the in silico analysis of lncRNAs, including tissue-specific expression, protein coding potential, subcellular localization, structural conformation, and interaction partners. The assembled lncRNA toolkit is aimed primarily at experimental researchers as a useful starting point to guide wet-lab experiments, mainly containing multi-functional, user-friendly interfaces. With more and more new lncRNA analysis tools available, it will be essential to provide continuous updates and maintain the availability of key software in the future.

Indexed as

bioinformatic prediction softwarecoding potentialcomputational analysisdatabaseslong non-coding RNAsnon-coding RNAsRNA functionRNA interactionsRNA structure

Identifiers

PMID33339309
PMCPMC7768357

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.