Evidence map›Paper›PMID 24763310›Full record

ArticlePLoS computational biology2014

Computational biology and bioinformatics in Nigeria.

Segun A Fatumo, Moses P Adoga, Opeolu O Ojo, Olugbenga Oluwagbemi, Tolulope Adeoye, Itunuoluwa Ewejobi, Marion Adebiyi, Ezekiel Adebiyi, Clement Bewaji, Oyekanmi Nashiru

Abstract read
In one paragraph

Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Development and teaching of a bioinformatics course to biochemistry major students in a Nigerian University during COVID-19 pandemic.Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology · 2021
    Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Understanding dengue virus evolution to support epidemic surveillance and counter-measure development.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2018
    Review
  15. Review
  16. Article
  17. Bioinformatics in Africa: The Rise of Ghana?PLoS computational biology · 2015
    Article
  18. Article
  19. 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

10 authors.

Segun A FatumoH3Africa Bioinformatics Network (H3ABioNet) Node, National Biotechnology Development Agency (NABDA), Federal Ministry of Science and Technology (FMST), Abuja, Nigeria; Human Genetics Department, Wellcome Trust Sanger Institute, Cambridge, United Kingdom; International Health Research Group, Department of Public Health & Primary Care, University of Cambridge, Cambridge, United Kingdom.
Moses P AdogaComputational and Evolutionary Biology/Bioinformatics, Faculty of Life Sciences, University of Manchester, Manchester, United Kingdom; Microbiology Unit, Department of Biological Sciences, Nasarawa State University, Keffi, Nigeria.
Opeolu O OjoCentre for Molecular Biosciences, University of Ulster, Coleraine, United Kingdom; Chevron Biotechnology Centre, Federal University of Technology, Yola, Nigeria.
Olugbenga OluwagbemiDepartment of Computer and Information Sciences, Covenant University, Ota, Nigeria; H3ABioNet Node, Covenant University Bioinformatics Research (CUBRe), Ota, Nigeria.
Tolulope AdeoyeUniversity of Hradec Kralove, Kralove, Czech Republic.
Itunuoluwa EwejobiDepartment of Computer and Information Sciences, Covenant University, Ota, Nigeria; H3ABioNet Node, Covenant University Bioinformatics Research (CUBRe), Ota, Nigeria.
Marion AdebiyiDepartment of Computer and Information Sciences, Covenant University, Ota, Nigeria; H3ABioNet Node, Covenant University Bioinformatics Research (CUBRe), Ota, Nigeria.
Ezekiel AdebiyiDepartment of Computer and Information Sciences, Covenant University, Ota, Nigeria; H3ABioNet Node, Covenant University Bioinformatics Research (CUBRe), Ota, Nigeria.
Clement BewajiDepartment of Biochemistry, University of Ilorin, Ilorin, Nigeria.
Oyekanmi NashiruH3Africa Bioinformatics Network (H3ABioNet) Node, National Biotechnology Development Agency (NABDA), Federal Ministry of Science and Technology (FMST), Abuja, Nigeria.

Funding

H3ABioNet: a sustainable African Bioinformatics Network for H3AfricaU41HG006941 · NHGRI · UNIVERSITY OF CAPE TOWN · PI MULDER, NICOLA · 2012 to 2017
$14.8M
NHGRI NIH HHS U41 HG006941NHGRI NIH HHS U41HG006941Wellcome Trust
6 · The paper itself

Abstract

Over the past few decades, major advances in the field of molecular biology, coupled with advances in genomic technologies, have led to an explosive growth in the biological data generated by the scientific community. The critical need to process and analyze such a deluge of data and turn it into useful knowledge has caused bioinformatics to gain prominence and importance. Bioinformatics is an interdisciplinary research area that applies techniques, methodologies, and tools in computer and information science to solve biological problems. In Nigeria, bioinformatics has recently played a vital role in the advancement of biological sciences. As a developing country, the importance of bioinformatics is rapidly gaining acceptance, and bioinformatics groups comprised of biologists, computer scientists, and computer engineers are being constituted at Nigerian universities and research institutes. In this article, we present an overview of bioinformatics education and research in Nigeria. We also discuss professional societies and academic and research institutions that play central roles in advancing the discipline in Nigeria. Finally, we propose strategies that can bolster bioinformatics education and support from policy makers in Nigeria, with potential positive implications for other developing countries.

Indexed as

Computational BiologyNigeria

Identifiers

PMID24763310
PMCPMC3998874

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.