Evidence map›Paper›PMID 34673773›Full record

ArticlePLoS computational biology2021

Bioinformatics in Sudan: Status and challenges case study: The National University-Sudan.

Sofia B Mohamed, Sumaya Kambal, Sabah A E Ibrahim, Esra Abdalwhab, Abdalla Munir, Arwa Ibrahim, Qurashi Mohamed Ali

Abstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. 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

7 authors.

Sofia B MohamedBioinformatics and Biostatistics Department, National University Biomedical Research Institute, National University-Sudan, Khartoum, Sudan.ORCID 0000-0001-6718-3540
Sumaya KambalBioinformatics and Biostatistics Department, National University Biomedical Research Institute, National University-Sudan, Khartoum, Sudan.ORCID 0000-0003-3093-7251
Sabah A E IbrahimBioinformatics and Biostatistics Department, National University Biomedical Research Institute, National University-Sudan, Khartoum, Sudan.ORCID 0000-0003-2908-3658
Esra AbdalwhabBioinformatics and Biostatistics Department, National University Biomedical Research Institute, National University-Sudan, Khartoum, Sudan.ORCID 0000-0002-7678-9293
Abdalla MunirBioinformatics and Biostatistics Department, National University Biomedical Research Institute, National University-Sudan, Khartoum, Sudan.
Arwa IbrahimBioinformatics and Biostatistics Department, National University Biomedical Research Institute, National University-Sudan, Khartoum, Sudan.ORCID 0000-0001-6757-4744
Qurashi Mohamed AliBioinformatics and Biostatistics Department, National University Biomedical Research Institute, National University-Sudan, Khartoum, Sudan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ever increasing applications of bioinformatics in providing effective interpretation of large and complex biological data require expertise in the use of sophisticated computational tools and advanced statistical tests, skills that are mostly lacking in the Sudanese research community. This can be attributed to paucity in the development and promotion of bioinformatics, lack of senior bioinformaticians, and the general status quo of inadequate research funding in Sudan. In this paper, we describe the challenges that have encountered the development of bioinformatics as a discipline in Sudan. Additionally, we highlight on specific actions that may help develop and promote its education and training. The paper takes the National University Biomedical Research Institute (NUBRI) as an example of an institute that has tackled many of these challenges and strives to drive powerful efforts in the development of bioinformatics in the country.

Indexed as

Computational BiologyDeveloping CountriesHumansSudanUniversities

Identifiers

PMID34673773
PMCPMC8530284

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.