Evidence map›Paper›PMID 30773584›Full record

ArticleBriefings in bioinformatics2020

Delivering blended bioinformatics training in resource-limited settings: a case study on the University of Khartoum H3ABioNet node.

Azza E Ahmed, Ayah A Awadallah, Mawada Tagelsir, Maram A Suliman, Atheer Eltigani, Hassan Elsafi, Basil D Hamdelnile, Mohamed A Mukhtar, Faisal M Fadlelmola

Open access · hybridAbstract read
In one paragraph

Article in Briefings in bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.5field-weighted citation impact, top 36% of its field
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

10 citing papers in PubMed, 12 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Azza E AhmedCenter for Bioinformatics and Systems Biology, Faculty of Science, University of Khartoum, Khartoum, Sudan.
Ayah A AwadallahDepartment of Zoology, Faculty of Science, University of Khartoum, Khartoum, Sudan.
Mawada TagelsirDepartment of Haematology and Immunohaematology, Faculty of Medical Laboratory Sciences, Ibn Sina University, Khartoum, Sudan.
Maram A SulimanDepartment of Biology, Faculty of Medicine, Ibn Sina University, Khartoum, Sudan.
Atheer EltiganiDepartment of Medical Biotechnology, Commission for Biotechnology and Genetic Engineering, National Centre for Research, Khartoum, Sudan.
Hassan ElsafiMedicinal, Aromatic Plants and Traditional Medicine Research Institute, National Centre for Research, Khartoum, Sudan.
Basil D HamdelnileCenter for Bioinformatics and Systems Biology, Faculty of Science, University of Khartoum, Khartoum, Sudan.
Mohamed A MukhtarFaculty of Pharmacy, Karary University, Omdurman, Sudan.
Faisal M FadlelmolaCenter for Bioinformatics and Systems Biology, Faculty of Science, University of Khartoum, Khartoum, Sudan.
University of Khartoum · SDNational Centre for Research · SDKarary University · SD

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 HG006941
6 · The paper itself

Abstract

motivationDelivering high-quality distance-based courses in resource-limited settings is a challenging task. Besides the needed infrastructure and expertise, effective delivery of a bioinformatics course could benefit from hands-on sessions, interactivity and problem-based learning approaches.

resultsIn this article, we discuss the challenges and best practices in delivering bioinformatics training in resource-limited settings taking the example of hosting and running a multiple-delivery online course, Introduction to Bioinformatics, that was developed by the H3ABioNet Education and Training working group and delivered in 27 remote classrooms across Africa in 2017. We take the case of the University of Khartoum classrooms. Believing that our local setting is similar to others in less-developed countries, we also reflect upon aspects like classroom environment and recruitment of students to maximize outcomes.

Indexed as

Computational BiologyDeveloping CountriesHumansModels, EducationalStudentsSudanbioinformatics trainingblended learningbMOOCdistance-based learningresource-limited settings

Identifiers

PMID30773584
PMCPMC7299290
OpenAlexW2917223798

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.