Evidence map›Paper›PMID 42656346›Full record

ArticleFrontiers in bioinformatics2026

rMAP-Candida: a modular Dockerized WDL/Cromwell workflow for reproducible

Gerald Mboowa, Ivan Sserwadda, Stephen Kanyerezi, Benson R Kidenya, Jonani Bwambale, Benson Musinguzi

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PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

6 authors.

Gerald MboowaThe African Centre of Excellence in Bioinformatics and Data-Intensive Sciences, Makerere University, Kampala, Uganda.
Ivan SserwaddaThe African Centre of Excellence in Bioinformatics and Data-Intensive Sciences, Makerere University, Kampala, Uganda.
Stephen KanyereziThe African Centre of Excellence in Bioinformatics and Data-Intensive Sciences, Makerere University, Kampala, Uganda.
Benson R KidenyaDepartment of Biochemistry and Molecular Biology, Weill Bugando School of Medicine, Catholic University of Health and Allied Sciences, Mwanza, Tanzania.
Jonani BwambaleDepartment of Immunology and Molecular Biology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda.
Benson MusinguziDepartment of Medical Laboratory Sciences, Faculty of Health Sciences, Muni University, Arua, Uganda.

Funding

Makerere University Data Science Research Training to Strengthen Evidence-Based Health Innovation, Intervention and Policy (MakDARTA)U2RTW012116 · FIC · MAKERERE UNIVERSITY COLLEGE OF HEALTH SCIENCES · PI William Checkley, Moses Lutaakome Joloba · 2021 to 2026
$2.0M
Harnessing Health Data Science capacity to strengthen evidence-based interventions, policy and response to the HIV/AIDS Epidemic in Uganda (H-DATA)D43TW013056 · FIC · MAKERERE UNIVERSITY COLLEGE OF HEALTH SCIENCES · PI Charles Batte, Efstathios Dimitrios Gennatas · 2025 to 2026
$604k
FIC NIH HHS D43 TW013056FIC NIH HHS U2R TW012116
6 · The paper itself

Abstract

Background: Methods: We developed rMAP-Candida, a modular, Dockerized WDL/Cromwell workflow for paired-end Results: rMAP-Candida generated reproducible species assignments, assembly-contiguity metrics, optional completeness summaries, antifungal-resistance marker outputs, species-aware phylogenomic summaries, pairwise SNP-distance tables, closest-neighbor summaries, and integrated HTML reports. In the Ugandan validation dataset, the workflow identified six principal species groups, dominated by Conclusion: rMAP-Candida provides a portable, reproducible, modular, and surveillance-oriented WDL/Cromwell workflow for

Indexed as

antifungal resistancebioinformatics workflowCandida spp.fungal genomicsgenomic surveillancerMAP-Candida

Identifiers

PMID42656346
PMCPMC13506686

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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.