Evidence map›Paper›PMID 42454303›Full record

ArticleFrontiers in public health2026

Next-generation sequencing and bioinformatics capacity: findings from a multi-country survey to guide the genomics costing tool 2.0.

Ashley Bolding, Silvia Argimón, Toni Whistler, Beatrix Kele, Marco Marklewitz, Alexandr Jaguparov, Biran Musul, Anita Suresh, Swapna Uplekar, Joanna Salvi Le Garrec and 2 more

Abstract read
In one paragraph

Article in Frontiers in public health, 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

12 authors.

Ashley Bolding *Global Health, Association of Public Health Laboratories, Bethesda, MD, United States.
Silvia Argimón *WHO Hub for Pandemic and Epidemic Intelligence, World Health Organization, Berlin, Germany.
Toni WhistlerGlobal Health, Association of Public Health Laboratories, Bethesda, MD, United States.
Beatrix KeleVirus Reference Department, United Kingdom Health Security Agency, London, United Kingdom.
Marco MarklewitzGenomics & Sequencing, FIND, Geneva, Switzerland.
Alexandr JaguparovWHO Regional Office for Europe, World Health Organization, Copenhagen, Denmark.
Biran MusulWHO Country Office in Türkiye, World Health Organization, Ankara, Türkiye.
Anita SureshGenomics & Sequencing, FIND, Singapore, Singapore.
Swapna UplekarGenomics & Sequencing, FIND, Geneva, Switzerland.
Joanna Salvi Le GarrecWHO Regional Office for Europe, World Health Organization, Copenhagen, Denmark.
Josefina CamposWHO Hub for Pandemic and Epidemic Intelligence, World Health Organization, Berlin, Germany.
Oluwatosin Wuraola AkandeDepartment of Epidemic and Pandemic Management, World Health Organization, Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next-generation sequencing (NGS) and bioinformatics are critical to infectious disease surveillance, outbreak detection and response, and the research and development of medical countermeasures. Achieving sustainable genomic surveillance requires countries to develop costed national strategies that integrate financial planning and budgeting across sequencing and bioinformatics activities. The genomics costing tool (GCT) was initially developed to estimate the costs of SARS-CoV-2 sequencing and associated bioinformatics. In response to growing country demand, the tool has now been expanded to support a wider range of pathogens and laboratory settings (GCT 2.0). To inform the design of GCT 2.0, a cross-sectional online survey was disseminated between September 2024 and March 2025 to assess current global next-generation sequencing and bioinformatics capacity. Respondents were recruited via professional networks, mailing lists, and partner organizations. The questionnaire captured laboratory demographics, instrumentation, reagents, throughput, data management, bioinformatics/analytical tools, and funding sources. Of the 149 respondents, 120 responses from 52 countries across all six WHO regions were included in the analysis, after excluding incomplete submissions. The median number of sequencing instruments per respondent was 3, with Illumina and Oxford Nanopore Technologies being the most predominant platforms, reported by 89.6 and 68.8% of the respondents, respectively. The median annual throughput reported was 1,940 samples in high-income countries, 850 in upper-middle-income countries, 1,205 in lower-middle-income countries, and 950 in low-income countries. Only 57.7% of respondents stored data in multiple locations, and 32.5% lacked any data backup. Funding sources varied: 54.4% relied on multiple streams, while 14.9% depended solely on government budgets, and many laboratories relied on emergency or project-based support. Global NGS and bioinformatics capacity continues to expand, yet substantial geographical and operational disparities persist. Beyond instrument availability, laboratories face constraints related to throughput, data storage, analysis capacity, and sustainable financing. Informed by these findings, GCT 2.0 incorporates expanded pathogen coverage, flexible throughput scenarios, support for multiple sequencing platforms, and detailed costing of data storage and bioinformatics workflows. By integrating these considerations, the tool aims to strengthen laboratories' capacity to plan, manage, and sustain genomic surveillance over the long term.

Indexed as

Computational BiologyGenomicsHigh-Throughput Nucleotide SequencingCosts and Cost AnalysisCross-Sectional StudiesHumansSARS-CoV-2Surveys and Questionnairesbioinformaticscomputation biologycosting toolgenomic surveillancelaboratory budgetnext-generation sequencingpublic health surveillancesustainability

Identifiers

PMID42454303
PMCPMC13367074

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.