Evidence map›Paper›PMID 26751686›Full record

ArticleApplied & translational genomics2015

Neurogenomics: Challenges and opportunities for Ghana.

Thomas K Karikari, Emmanuel Quansah

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Bioinformatics in Africa: The Rise of Ghana?PLoS computational biology · 2015
    Article
  4. Article
  5. 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

2 authors.

Thomas K KarikariNeuroscience, School of Life Sciences, University of Warwick, Coventry CV4 7AL, United Kingdom; Midlands Integrative Biosciences Training Partnership, University of Warwick, Coventry CV4 7AL, United Kingdom.
Emmanuel QuansahDepartment of Molecular Biology and Biotechnology, School of Biological Science, University of Cape Coast, Cape Coast, Ghana; Pharmacology, Faculty of Health and Life Sciences, De Montfort University, Leicester LE1 9BH, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The application of genomic tools and technologies has shown the potential to help improve healthcare and our understanding of disease mechanisms. While genomic tools are increasingly being applied to research on infectious diseases, malaria and neglected tropical diseases in Africa, an area that has seen little application of genomic approaches on this continent is neuroscience. In this article, we examined the prospects of developing neurogenomics research and its clinical use in Ghana, one of the African countries actively involved in genomics research. We noted that established international research funding sources and foundations in genomic research such as H3ABioNet nodes established at a couple of research centres in Ghana provide excellent platforms for extending the usage of genomic tools and techniques to neuroscience-related research areas. However, existing challenges such as the (i) lack of degree programmes in neuroscience, genomics and bioinformatics; (ii) low availability of infrastructure and appropriately-trained scientists; and (iii) lack of local research funding opportunities, need to be addressed. To promote and safeguard the long-term sustainability of neurogenomics research in the country, the impact of the existing challenges and possible ways of addressing them have been discussed.

Indexed as

AfricaBig dataBioinformaticsGenomicsGhanaNeurogenomicsNeuroscienceScientific capacity

Identifiers

PMID26751686
PMCPMC4691957

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.