Evidence map›Paper›PMID 39990255›Full record

ArticleBioinformatics advances2025

getENRICH: a tool for the gene and pathway enrichment analysis of non-model organisms.

Ajay Bhatia, Pranjal Pruthi, Isha Chakraborty, Nityendra Shukla, Jitendra Narayan

Abstract read
In one paragraph

Article in Bioinformatics advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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.

Ajay BhatiaCSIR-Institute of Genomics and Integrative Biology, New Delhi 110007, India.
Pranjal PruthiCSIR-Institute of Genomics and Integrative Biology, New Delhi 110007, India.ORCID https://orcid.org/0009-0008-4251-6490
Isha ChakrabortyCSIR-Institute of Genomics and Integrative Biology, New Delhi 110007, India.
Nityendra ShuklaCSIR-Institute of Genomics and Integrative Biology, New Delhi 110007, India.
Jitendra NarayanCSIR-Institute of Genomics and Integrative Biology, New Delhi 110007, India.ORCID https://orcid.org/0000-0002-2065-2861

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivation: The Gene Ontology system facilitates the functional annotation of genes by categorizing them into specific biological processes, cellular components, and molecular functions. Despite numerous tools like DAVID and Enrichr, analysing non-model organisms remains challenging due to a lack of genetic information and available tools. Results: To address this, we present getENRICH, a comprehensive tool for gene enrichment analysis tailored for non-model organisms. Available in both command-line and web-based graphical user interface (GUI) formats, getENRICH facilitates user-friendly interaction for gene dataset uploads, parameter configuration, and visualization. getENRICH employs hypergeometric distribution for Availability and implementation: getENRICH is freely available under the MIT license, with the source code, documentation, and example datasets available on GitHub (https://github.com/jnarayan81/getENRICH) and the GUI version available at https://getenrich.igib.res.in/.

Identifiers

PMID39990255
PMCPMC11845281

What OpenQuestion holds

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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.