Evidence map›Paper›PMID 37125646›Full record

ArticleNucleic acids research2023

PANGEA: a new gene set enrichment tool for Drosophila and common research organisms.

Yanhui Hu, Aram Comjean, Helen Attrill, Giulia Antonazzo, Jim Thurmond, Weihang Chen, Fangge Li, Tiffany Chao, Stephanie E Mohr, Nicholas H Brown and 1 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing 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

71 citing papers in PubMed.

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  12. Female genetic variation controlling timing of mating plug ejection inbioRxiv : the preprint server for biology · 2026
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  15. RNA Sequencing in AdultbioRxiv : the preprint server for biology · 2026
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  16. Article
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  19. Article
  20. Article

11 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Yanhui HuDepartment of Genetics, Blavatnik Institute, Harvard Medical School, Harvard University, Boston, MA 02115, USA.ORCID 0000-0003-1494-1402
Aram ComjeanDepartment of Genetics, Blavatnik Institute, Harvard Medical School, Harvard University, Boston, MA 02115, USA.
Helen AttrillDepartment of Physiology, Development and Neuroscience, University of Cambridge, Downing Street, Cambridge CB2 3DY, UK.ORCID 0000-0003-3212-6364
Giulia AntonazzoDepartment of Physiology, Development and Neuroscience, University of Cambridge, Downing Street, Cambridge CB2 3DY, UK.
Jim ThurmondDepartment of Biology, Indiana University, Bloomington, IN 47405, USA.
Weihang ChenDepartment of Genetics, Blavatnik Institute, Harvard Medical School, Harvard University, Boston, MA 02115, USA.
Fangge LiDrosophila RNAi Screening Center, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA.
Tiffany ChaoDrosophila RNAi Screening Center, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA.
Stephanie E MohrDepartment of Genetics, Blavatnik Institute, Harvard Medical School, Harvard University, Boston, MA 02115, USA.
Nicholas H BrownDepartment of Physiology, Development and Neuroscience, University of Cambridge, Downing Street, Cambridge CB2 3DY, UK.ORCID 0000-0002-8958-7017
Norbert PerrimonDepartment of Genetics, Blavatnik Institute, Harvard Medical School, Harvard University, Boston, MA 02115, USA.ORCID 0000-0001-7542-472X

Funding

Resource Project CoreU41HG000739 · NHGRI · HARVARD UNIVERSITY · PI PERRIMON, NORBERT · 2014 to 2022
$32.3M
Functional genomics resources for the Drosophila - TR&D3P41GM132087 · NIGMS · HARVARD MEDICAL SCHOOL · PI PERRIMON, NORBERT · 2019 to 2023
$6.8M
Howard Hughes Medical InstituteMedical Research Council MR/N030117/1Medical Research Council MR/W024233/1NHGRI NIH HHS U41 HG000739NIGMS NIH HHS P41 GM132087
6 · The paper itself

Abstract

Gene set enrichment analysis (GSEA) plays an important role in large-scale data analysis, helping scientists discover the underlying biological patterns over-represented in a gene list resulting from, for example, an 'omics' study. Gene Ontology (GO) annotation is the most frequently used classification mechanism for gene set definition. Here we present a new GSEA tool, PANGEA (PAthway, Network and Gene-set Enrichment Analysis; https://www.flyrnai.org/tools/pangea/), developed to allow a more flexible and configurable approach to data analysis using a variety of classification sets. PANGEA allows GO analysis to be performed on different sets of GO annotations, for example excluding high-throughput studies. Beyond GO, gene sets for pathway annotation and protein complex data from various resources as well as expression and disease annotation from the Alliance of Genome Resources (Alliance). In addition, visualizations of results are enhanced by providing an option to view network of gene set to gene relationships. The tool also allows comparison of multiple input gene lists and accompanying visualisation tools for quick and easy comparison. This new tool will facilitate GSEA for Drosophila and other major model organisms based on high-quality annotated information available for these species.

Indexed as

DrosophilaSoftwareAnimalsDatabases, GeneticGenomeMolecular Sequence Annotation

Identifiers

PMID37125646
PMCPMC10320058

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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.