Evidence map›Paper›PMID 38616247›Full record

ArticleBMC bioinformatics2024

Designing and delivering bioinformatics project-based learning in East Africa.

Caleb K Kibet, Jean-Baka Domelevo Entfellner, Daudi Jjingo, Etienne Pierre de Villiers, Santie de Villiers, Karen Wambui, Sam Kinyanjui, Daniel Masiga

Abstract read
In one paragraph

Article in BMC bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. aXonica: A support package for MRI based Neuroimaging.Biotechnology notes (Amsterdam, Netherlands) · 2024
    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

8 authors.

Caleb K KibetInternational Centre of Insect Physiology and Ecology (ICIPE), P.O. Box 30772, Nairobi, 00100, Kenya.
Jean-Baka Domelevo EntfellnerInternational Livestock Research Institute, Nairobi, Kenya.
Daudi JjingoDepartment of Computer Science, Makerere University, P.O. Box 7062, Kampala, Uganda.
Etienne Pierre de VilliersKEMRI-WellcomeTrust Research Programme, P.O. Box 230-80108, Kilifi, Kenya.
Santie de VilliersPwani University, Mombasa -Malindi Highway, P.O. Box 195-80108, Kilifi, Kenya.
Karen WambuiInternational Centre of Insect Physiology and Ecology (ICIPE), P.O. Box 30772, Nairobi, 00100, Kenya.
Sam KinyanjuiKEMRI-WellcomeTrust Research Programme, P.O. Box 230-80108, Kilifi, Kenya.
Daniel MasigaInternational Centre of Insect Physiology and Ecology (ICIPE), P.O. Box 30772, Nairobi, 00100, Kenya. dmasiga@icipe.org.

Funding

Eastern Africa Network for Bioinformatics Training - (EANBiT)U2RTW010677 · FIC · INTERNATIONAL CENTRE OF INSECT PHYSIOLOG · PI MASIGA, DANIEL KANANI · 2017 to 2022
$1.2M
FIC NIH HHS U2R TW010677FIC NIH HHS U2RTW010677
6 · The paper itself

Abstract

backgroundThe Eastern Africa Network for Bioinformatics Training (EANBiT) has matured through continuous evaluation, feedback, and codesign. We highlight how the program has evolved to meet challenges and achieve its goals and how experiential learning through mini projects enhances the acquisition of skills and collaboration. We continued to learn and grow through honest feedback and evaluation of the program, trainers, and modules, enabling us to provide robust training even during the Coronavirus disease 2019 (COVID-19) pandemic, when we had to redesign the program due to restricted travel and in person group meetings.

resultsIn response to the pandemic, we developed a program to maintain "residential" training experiences and benefits remotely. We had to answer the following questions: What must change to still achieve the RT goals? What optimal platforms should be used? How would we manage connectivity and data challenges? How could we avoid online fatigue? Going virtual presented an opportunity to reflect on the essence and uniqueness of the program and its ability to meet the objective of strengthening bioinformatics skills among the cohorts of students using different delivery approaches. It allowed an increase in the number of participants. Evaluating each program component is critical for improvement, primarily when feedback feeds into the program's continuous amendment. Initially, the participants noted that there were too many modules, insufficient time, and a lack of hands-on training as a result of too much focus on theory. In the subsequent iterations, we reduced the number of modules from 27 to five, created a harmonized repository for the materials on GitHub, and introduced project-based learning through the mini projects.

conclusionWe demonstrate that implementing a program design through detailed monitoring and evaluation leads to success, especially when participants who are the best fit for the program are selected on an appropriate level of skills, motivation, and commitment.

Indexed as

COVID-19LearningAfrica, EasternComputational BiologyHumansPandemicsBioinformaticsCapacity buildingEANBiTEast AfricaH3AfricaProject-Based Learning

Identifiers

PMID38616247
PMCPMC11017571

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.