Evidence map›Paper›PMID 41400832›Full record

ArticleBioinformatics (Oxford, England)2026

CholeraSeq: a comprehensive genomic pipeline for cholera surveillance and near real-time outbreak investigation.

Massimiliano S Tagliamonte, Abhinav Sharma, Alberto Riva, Monika Moir, Marco Salemi, Cheryl Baxter, Tulio de Oliveira, Carla N Mavian, Eduan Wilkinson

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 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

9 authors.

Massimiliano S TagliamonteInterdisciplinary Center for Biotechnology Research, University of Florida, Gainesville, FL, 32601, United States.
Abhinav SharmaDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, 7505, South Africa.
Alberto RivaInterdisciplinary Center for Biotechnology Research, University of Florida, Gainesville, FL, 32601, United States.ORCID 0000-0001-9150-8333
Monika MoirCentre for Epidemic Response and Innovation, School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, 7600, South Africa.ORCID 0000-0003-1095-1910
Marco SalemiEmerging Pathogens Institute, Department of Pathology, College of Medicine, Emerging Pathogens Institute, University of Florida, Gainesville, FL, 32601, United States.ORCID 0000-0003-0136-2102
Cheryl BaxterCentre for Epidemic Response and Innovation, School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, 7600, South Africa.
Tulio de OliveiraCentre for Epidemic Response and Innovation, School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, 7600, South Africa.
Carla N MavianCentre for Epidemic Response and Innovation, School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, 7600, South Africa.ORCID 0000-0003-3819-5520
Eduan WilkinsonCentre for Epidemic Response and Innovation, School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, 7600, South Africa.

Funding

CDRF 1051063145123CDRF G-202305-70433
6 · The paper itself

Abstract

summaryNext Generation Sequencing is widely deployed in cholera-endemic regions, yet an end-to-end reproducible pipeline that unifies read QC, filtering, reference mapping, variant calling/annotation, recombination screening, and extraction of parsimony informative sites/variant codons, phylogenetic inference for downstream phylodynamic and epidemiological analyses have been lacking, slowing outbreak investigation and public health response. CholeraSeq is a high-throughput genomics pipeline for cholera genomic surveillance. It ingests consensus genomes, short read sequence data, draft assemblies, and scales seamlessly from local to cloud environments. To accelerate epidemiological context placement of new outbreak strains, we provide a curated ready-to-use core genome alignment compiled from public data, enabling flexible, fast, integration of new samples for outbreak investigations. AVAILABILITY AND IMPLEMENTATION: CholeraSeq is freely available on the GitHub platform https://github.com/CERI-KRISP/CholeraSeq. CholeraSeq is implemented in Nextflow with a modular design building upon the nf-core community standards.

Indexed as

CholeraDisease OutbreaksGenome, BacterialGenomicsSoftwareVibrio choleraeHigh-Throughput Nucleotide SequencingHumansPhylogeny

Identifiers

PMID41400832
PMCPMC12790814

What OpenQuestion holds

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LicenceCC BY
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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.