Evidence map›Paper›PMID 34078267›Full record

ArticleBMC bioinformatics2021

NoRCE: non-coding RNA sets cis enrichment tool.

Gulden Olgun, Afshan Nabi, Oznur Tastan

Erratum issuedAbstract read
In one paragraph

Article in BMC bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

  1. A practical guide to functional enrichment analysis.Frontiers in bioinformatics · 2026
    Article
  2. RNAenrich: a web server for non-coding RNA enrichment.Bioinformatics (Oxford, England) · 2023
    Article
  3. Nine quick tips for pathway enrichment analysis.PLoS computational biology · 2022
    Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Gulden OlgunDepartment of Computer Engineering, Bilkent University, Ankara, Turkey.
Afshan NabiFaculty of Engineering and Natural Sciences, Sabanci University, 34956, Istanbul, Turkey.
Oznur TastanFaculty of Engineering and Natural Sciences, Sabanci University, 34956, Istanbul, Turkey. otastan@sabanciuniv.edu.ORCID http://orcid.org/0000-0001-7058-5372

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile some non-coding RNAs (ncRNAs) are assigned critical regulatory roles, most remain functionally uncharacterized. This presents a challenge whenever an interesting set of ncRNAs needs to be analyzed in a functional context. Transcripts located close-by on the genome are often regulated together. This genomic proximity on the sequence can hint at a functional association.

resultsWe present a tool, NoRCE, that performs cis enrichment analysis for a given set of ncRNAs. Enrichment is carried out using the functional annotations of the coding genes located proximal to the input ncRNAs. Other biologically relevant information such as topologically associating domain (TAD) boundaries, co-expression patterns, and miRNA target prediction information can be incorporated to conduct a richer enrichment analysis. To this end, NoRCE includes several relevant datasets as part of its data repository, including cell-line specific TAD boundaries, functional gene sets, and expression data for coding & ncRNAs specific to cancer. Additionally, the users can utilize custom data files in their investigation. Enrichment results can be retrieved in a tabular format or visualized in several different ways. NoRCE is currently available for the following species: human, mouse, rat, zebrafish, fruit fly, worm, and yeast.

conclusionsNoRCE is a platform-independent, user-friendly, comprehensive R package that can be used to gain insight into the functional importance of a list of ncRNAs of any type. The tool offers flexibility to conduct the users' preferred set of analyses by designing their own pipeline of analysis. NoRCE is available in Bioconductor and https://github.com/guldenolgun/NoRCE .

Indexed as

MicroRNAsZebrafishAnimalsGenomeMiceRatsRNA, UntranslatedMicroRNAsRNA, UntranslatedCo-expression analysisEnrichment analysisMulti-species R packageNon-coding geneTAD

Identifiers

PMID34078267
PMCPMC8170991

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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.