Evidence map›Paper›PMID 41831045›Full record

ReviewJournal of community genetics2026

Reframing bioinformatics capacity development in Africa: from training supply to research-driven demand.

Juma Hussein, Hawa Myovela

Abstract readReview
In one paragraph

Review in Journal of community genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

2 authors.

Juma HusseinDepartment of Molecular Biology and Biotechnology, College of Natural and Applied Sciences, University of Dar es Salaam, Dar es Salaam, Tanzania.
Hawa MyovelaDepartment of Molecular Biology and Biotechnology, College of Natural and Applied Sciences, University of Dar es Salaam, Dar es Salaam, Tanzania. hawa.myovela@udsm.ac.tz.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bioinformatics has become central to modern genomics and data-intensive life science research, yet capacity development across Africa remains uneven. This review examines the evolution of bioinformatics capacity on the continent, evaluating historical investments in training, infrastructure, and collaborative research initiatives. Using narrative synthesis, we assess major continental programs including H3Africa and post-H3ABioNet initiatives. Evidence reviewed suggests that bioinformatics capacity development is most sustainable when skills development and research facilities investments are embedded within funded, data-generating research programs. Regional case studies show that research-led environments promote workforce retention and scientific productivity. Persistent challenges including infrastructure limitations and uneven investment continue to affect analytical capacity and competitiveness. The review proposes a demand-driven framework in which sustained research funding, data production, and embedded training mutually reinforce long-term bioinformatics development. Such an approach may better support locally led genomic research and strengthen Africa’s participation in global data science and precision health initiatives.

Indexed as

Capacity buildingData scienceGenetic diversityGenomics in AfricaHealth equityPublic health genetics

Identifiers

PMID41831045
PMCPMC12988933

What OpenQuestion holds

Textmetadata
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.