Evidence map›Paper›PMID 26767162›Full record

ArticleApplied & translational genomics2015

Developing expertise in bioinformatics for biomedical research in Africa.

Thomas K Karikari, Emmanuel Quansah, Wael M Y Mohamed

Abstract read
In one paragraph

Article in Applied & translational genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. Article
  4. Review
  5. Article
  6. Bioinformatics proficiency among African students.Frontiers in bioinformatics · 2024
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
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

3 authors.

Thomas K KarikariNeuroscience, School of Life Sciences, University of Warwick, Coventry CV4 7AL, UK; Midlands Integrative Biosciences Training Partnership, University of Warwick, Coventry CV4 7AL, UK.
Emmanuel QuansahPharmacology, Faculty of Health and Life Sciences, De Montfort University, Leicester LE1 9BH, UK; Department of Molecular Biology and Biotechnology, School of Biological Science, University of Cape Coast, Cape Coast, Ghana.
Wael M Y MohamedClinical Pharmacology Department, Menoufia Medical School, Menoufia University, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research in bioinformatics has a central role in helping to advance biomedical research. However, its introduction to Africa has been met with some challenges (such as inadequate infrastructure, training opportunities, research funding, human resources, biorepositories and databases) that have contributed to the slow pace of development in this field across the continent. Fortunately, recent improvements in areas such as research funding, infrastructural support and capacity building are helping to develop bioinformatics into an important discipline in Africa. These contributions are leading to the establishment of world-class research facilities, biorepositories, training programmes, scientific networks and funding schemes to improve studies into disease and health in Africa. With increased contribution from all stakeholders, these developments could be further enhanced. Here, we discuss how the recent developments are contributing to the advancement of bioinformatics in Africa.

Indexed as

AfricaASBCB, African Society for Bioinformatics and Computational BiologyBioinformaticsBiomedical researchComputational biologyEVD, Ebola virus diseaseFOSRs, free and open source resourcesGenomicsH3ABioNet, a pan-African bioinformatics network funded under the H3Africa projectH3Africa, Human Heredity of Health in AfricaISCB, International Society for Computational BiologyResearch capacity

Identifiers

PMID26767162
PMCPMC4699396

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.