Evidence map›Paper›PMID 30367585›Full record

ArticleBMC bioinformatics2018

Arena-Idb: a platform to build human non-coding RNA interaction networks.

Vincenzo Bonnici, Giorgio De Caro, Giorgio Constantino, Sabino Liuni, Domenica D'Elia, Nicola Bombieri, Flavio Licciulli, Rosalba Giugno

Abstract read
In one paragraph

Article in BMC bioinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Construction and Analysis of miRNA Regulatory Networks.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. CAD increases the long noncoding RNAMolecular therapy. Nucleic acids · 2021
    Article
  6. An overview of graph databases and their applications in the biomedical domain.Database : the journal of biological databases and curation · 2021
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. A Guide to Conquer the Biological Network Era Using Graph Theory.Frontiers in bioengineering and biotechnology · 2020
    Review
  12. 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

8 authors.

Vincenzo BonniciDepartment of Computer Science,University of Verona, Strada Le Grazie, Verona, Italy.
Giorgio De CaroInstitute for Biomedical Technologies, National Research Council (CNR), Bari, Italy.
Giorgio ConstantinoDepartment of Computer Science,University of Verona, Strada Le Grazie, Verona, Italy.
Sabino LiuniInstitute for Biomedical Technologies, National Research Council (CNR), Bari, Italy.
Domenica D'EliaInstitute for Biomedical Technologies, National Research Council (CNR), Bari, Italy.
Nicola BombieriDepartment of Computer Science,University of Verona, Strada Le Grazie, Verona, Italy.
Flavio LicciulliInstitute for Biomedical Technologies, National Research Council (CNR), Bari, Italy.
Rosalba GiugnoDepartment of Computer Science,University of Verona, Strada Le Grazie, Verona, Italy. rosalba.giugno@univr.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh throughput technologies have provided the scientific community an unprecedented opportunity for large-scale analysis of genomes. Non-coding RNAs (ncRNAs), for a long time believed to be non-functional, are emerging as one of the most important and large family of gene regulators and key elements for genome maintenance. Functional studies have been able to assign to ncRNAs a wide spectrum of functions in primary biological processes, and for this reason they are assuming a growing importance as a potential new family of cancer therapeutic targets. Nevertheless, the number of functionally characterized ncRNAs is still too poor if compared to the number of new discovered ncRNAs. Thus platforms able to merge information from available resources addressing data integration issues are necessary and still insufficient to elucidate ncRNAs biological roles.

resultsIn this paper, we describe a platform called Arena-Idb for the retrieval of comprehensive and non-redundant annotated ncRNAs interactions. Arena-Idb provides a framework for network reconstruction of ncRNA heterogeneous interactions (i.e., with other type of molecules) and relationships with human diseases which guide the integration of data, extracted from different sources, via mapping of entities and minimization of ambiguity.

conclusionsArena-Idb provides a schema and a visualization system to integrate ncRNA interactions that assists in discovering ncRNA functions through the extraction of heterogeneous interaction networks. The Arena-Idb is available at http://arenaidb.ba.itb.cnr.it.

Indexed as

Gene Regulatory NetworksSoftwareDatabases, GeneticHumansRNA, UntranslatedUser-Computer InterfaceRNA, UntranslatedDatabaseData integrationNetworkNon-coding RNA

Identifiers

PMID30367585
PMCPMC6191940

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.