Evidence map›Paper›PMID 41710351›Full record

ArticleBioinformatics advances2026

cAMRah: a scalable and portable workflow for harmonized antimicrobial resistance gene prediction from bacterial genomes.

Daniella L Matute, Thomas H Clarke, Andrew R LaPointe, Indresh Singh, Derrick E Fouts

Abstract read
In one paragraph

Article in Bioinformatics advances, 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

5 authors.

Daniella L MatuteJ. Craig Venter Institute, Rockville, MD 20850, United States.
Thomas H ClarkeJ. Craig Venter Institute, Rockville, MD 20850, United States.
Andrew R LaPointeJ. Craig Venter Institute, Rockville, MD 20850, United States.
Indresh SinghJ. Craig Venter Institute, Rockville, MD 20850, United States.
Derrick E FoutsJ. Craig Venter Institute, Rockville, MD 20850, United States.ORCID https://orcid.org/0000-0003-4323-7668

Funding

Combatting AntiMicrobial Resistance in Africa Using Data Science (CAMRA)U54TW012056 · FIC · REDEEMER'S UNIVERSITY · PI Derrick E Fouts, Christian T. Happi · 2021 to 2026
$6.7M
FIC NIH HHS U54 TW012056
6 · The paper itself

Abstract

Summary: cAMRah is a curated workflow designed to predict antimicrobial resistance (AMR) genes in microbial genomes, either in the cloud or on any personal computer running Docker containers. Numerous AMR gene-finding packages exist, each utilizing different algorithms and prediction methods. cAMRah adopts a consensus-based approach to AMR prediction, recognizing that no single tool can identify all AMR genes. It integrates and runs six AMR-finder tools and databases (with plans for future expansion), scores the AMR predictions, maps all results to CDS coordinates and harmonizes the annotation, resulting in consistent gene symbols and ontologies. Availability and implementation: Source code, demo data and detailed documentation are freely available at https://github.com/JCVenterInstitute/CAMRA.

Identifiers

PMID41710351
PMCPMC12910510

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.