Evidence map›Paper›PMID 34768830›Full record

ReviewInternational journal of molecular sciences2021

Bioinformatic Tools for the Analysis and Prediction of ncRNA Interactions.

Andrés Rincón-Riveros, Duvan Morales, Josefa Antonia Rodríguez, Victoria E Villegas, Liliana López-Kleine

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Bioinformatics Approaches in Noncoding RNAs Research.Experientia supplementum (2012) · 2026
    Review
  7. Review
  8. Review
  9. Review
  10. Review
  11. Review
  12. T-Cadherin (International journal of molecular sciences · 2025
    Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Puzzling out the role ofNon-coding RNA research · 2024
    Review
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

5 authors.

Andrés Rincón-RiverosBioinformatics and Systems Biology Group, Universidad Nacional de Colombia, Bogotá 111221, Colombia.ORCID 0000-0002-6654-0195
Duvan MoralesCentro de Investigaciones en Microbiología y Biotecnología-UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá 111221, Colombia.
Josefa Antonia RodríguezGrupo de Investigación en Biología del Cáncer, Instituto Nacional de Cancerología, Bogotá 111221, Colombia.ORCID 0000-0002-8705-7178
Victoria E VillegasCentro de Investigaciones en Microbiología y Biotecnología-UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá 111221, Colombia.ORCID 0000-0003-4149-2307
Liliana López-KleineDepartment of Statistics, Faculty of Science, Universidad Nacional de Colombia, Bogotá 111221, Colombia.ORCID 0000-0001-9325-9529

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Noncoding RNAs (ncRNAs) play prominent roles in the regulation of gene expression via their interactions with other biological molecules such as proteins and nucleic acids. Although much of our knowledge about how these ncRNAs operate in different biological processes has been obtained from experimental findings, computational biology can also clearly substantially boost this knowledge by suggesting possible novel interactions of these ncRNAs with other molecules. Computational predictions are thus used as an alternative source of new insights through a process of mutual enrichment because the information obtained through experiments continuously feeds through into computational methods. The results of these predictions in turn shed light on possible interactions that are subsequently validated experimentally. This review describes the latest advances in databases, bioinformatic tools, and new in silico strategies that allow the establishment or prediction of biological interactions of ncRNAs, particularly miRNAs and lncRNAs. The ncRNA species described in this work have a special emphasis on those found in humans, but information on ncRNA of other species is also included.

Indexed as

AnimalsComputational BiologyDatabases, GeneticGene ExpressionGene Regulatory NetworksHigh-Throughput Nucleotide SequencingHumansMicroRNAsRNA, Long NoncodingRNA, UntranslatedSequence Analysis, RNAMicroRNAsRNA, Long NoncodingRNA, Untranslatedbioinformaticsgene regulatory networksgenomicsinteractomelncRNAncRNAtranscriptome

Identifiers

PMID34768830
PMCPMC8583695

What OpenQuestion holds

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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.