Evidence map›Paper›PMID 38643247›Full record

ArticleCommunications biology2024

Rummagene: massive mining of gene sets from supporting materials of biomedical research publications.

Daniel J B Clarke, Giacomo B Marino, Eden Z Deng, Zhuorui Xie, John Erol Evangelista, Avi Ma'ayan

Abstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Article
  3. The Common Fund Data Ecosystem (CFDE).bioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Targeting long non-coding RNAMolecular therapy. Nucleic acids · 2025
    Article
  14. Review
  15. Identifying motor resilience proteins associated with motor decline in older adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

6 authors.

Daniel J B ClarkeDepartment of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.ORCID 0000-0003-3471-7416
Giacomo B MarinoDepartment of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.ORCID 0009-0005-9727-559X
Eden Z DengDepartment of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Zhuorui XieDepartment of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
John Erol EvangelistaDepartment of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Avi Ma'ayanDepartment of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA. avi.maayan@mssm.edu.ORCID 0000-0002-6904-1017

Funding

The CFDE WorkbenchOT2OD036435 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MA'AYAN, AVI, SUBRAMANIAM, SHANKAR · 2023 to 2025
$7.2M
ARCHS4: Massive Mining of Publicly Available RNA Sequencing DataU24CA264250 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Avi Ma'ayan · 2022 to 2026
$4.1M
The LINCS DCIC Engagement Plan with the CFDEOT2OD030160 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MA'AYAN, AVI · 2020 to 2024
$3.4M
Diabetes Data and Hypothesis Hub (D2H2)RC2DK131995 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ATTIE, ALAN D, MA'AYAN, AVI · 2022 to 2023
$2.1M
Knowledge Management Center for Illuminating the Druggable GenomeU24CA224260 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MA'AYAN, AVI · 2018 to 2023
$1.5M
NCI NIH HHS U24 CA224260NCI NIH HHS U24 CA264250NIDDK NIH HHS RC2 DK131995NIH HHS OT2 OD030160NIH HHS OT2 OD036435
6 · The paper itself

Abstract

Many biomedical research publications contain gene sets in their supporting tables, and these sets are currently not available for search and reuse. By crawling PubMed Central, the Rummagene server provides access to hundreds of thousands of such mammalian gene sets. So far, we scanned 5,448,589 articles to find 121,237 articles that contain 642,389 gene sets. These sets are served for enrichment analysis, free text, and table title search. Investigating statistical patterns within the Rummagene database, we demonstrate that Rummagene can be used for transcription factor and kinase enrichment analyses, and for gene function predictions. By combining gene set similarity with abstract similarity, Rummagene can find surprising relationships between biological processes, concepts, and named entities. Overall, Rummagene brings to surface the ability to search a massive collection of published biomedical datasets that are currently buried and inaccessible. The Rummagene web application is available at https://rummagene.com .

Indexed as

Biomedical ResearchData MiningAnimalsDatabases, FactualGene Expression RegulationMammalsSoftware

Identifiers

PMID38643247
PMCPMC11032387

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.