Evidence map›Paper›PMID 41959376›Full record

ArticlebioRxiv : the preprint server for biology2026

Gene conversion is a key driver of diversity hotspots in

Maximillian G Marin, Natalia Quinones-Olvera, Hu Jin, Michael A Harris, Brendan M Jeffrey, Alex Rosenthal, Kenan C Murphy, Christopher Sassetti, Heng Li, Maha R Farhat

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Maximillian G MarinDepartment of Biomedical Informatics, Harvard Medical School, Boston, USA.ORCID 0000-0002-9108-3328
Natalia Quinones-OlveraDepartment of Biomedical Informatics, Harvard Medical School, Boston, USA.ORCID 0000-0002-4612-6819
Hu JinDepartment of Biomedical Informatics, Harvard Medical School, Boston, USA.ORCID 0000-0002-8657-5686
Michael A HarrisOffice of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, USA.ORCID 0000-0001-8789-0912
Brendan M JeffreyOffice of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, USA.ORCID 0009-0006-6658-9040
Alex RosenthalOffice of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, USA.ORCID 0000-0003-4190-9045
Kenan C MurphyDepartment of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, USA.ORCID 0000-0002-3677-2876
Christopher SassettiDepartment of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, USA.ORCID 0000-0001-6178-4329
Heng LiDepartment of Biomedical Informatics, Harvard Medical School, Boston, USA.ORCID 0000-0003-4874-2874
Maha R FarhatDepartment of Biomedical Informatics, Harvard Medical School, Boston, USA.ORCID 0000-0002-3871-5760

Funding

RESEARCH TRAINING-MEDICAL INFORMATICS 90T15LM007092 · NLM · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Nils Gehlenborg · 1992 to 2026
$32.8M
Investigating bacterial contributions to TB treatment response: a focus on in-host pathogen dynamicsR01AI155765 · NIAID · HARVARD MEDICAL SCHOOL · PI FARHAT, MAHA · 2020 to 2024
$3.7M
NIAID NIH HHS R01 AI155765NLM NIH HHS T15 LM007092
6 · The paper itself

Abstract

Despite the long-held view of

Identifiers

PMID41959376
PMCPMC13061034

What OpenQuestion 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 OpenQuestion graph.