Evidence map›Paper›PMID 33009560›Full record

ReviewBriefings in bioinformatics2021

Capacity building for whole genome sequencing of Mycobacterium tuberculosis and bioinformatics in high TB burden countries.

Emmanuel Rivière, Tim H Heupink, Nabila Ismail, Anzaan Dippenaar, Charlene Clarke, Gemeda Abebe, Peter Heusden, Rob Warren, Conor J Meehan, Annelies Van Rie

Open access · bronzeAbstract readReview
In one paragraph

Review in Briefings in bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

17 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Ecology and evolution · 2025
    Article
  7. Article
  8. Review
  9. aXonica: A support package for MRI based Neuroimaging.Biotechnology notes (Amsterdam, Netherlands) · 2024
    Article
  10. Review
  11. Article
  12. Genomic Sequencing Profiles ofTropical medicine and infectious disease · 2023
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Whole genome characterization, and geographical distribution of M. tuberculosis in central region of Veracruz, Mexico.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases
    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

10 authors at 5 institutions in 5 countries.

Emmanuel RivièreUniversity of Antwerp.ORCID 0000-0003-3410-218X
Tim H HeupinkUniversity of Antwerp.ORCID 0000-0001-6237-3898
Nabila IsmailStellenbosch University.
Anzaan DippenaarUniversity of Antwerp.
Charlene ClarkeStellenbosch University.
Gemeda AbebeMycobacteriology Research Center in Jimma, Ethiopia.
Peter HeusdenSouth African National Bioinformatics Institute (SANBI).
Rob WarrenSAMRC Centre for Tuberculosis Research.
Conor J MeehanUniversity of Bradford.
Annelies Van RieTuberculosis Omics Research Consortium.
University of Antwerp · BEStellenbosch University · ZASouth African Medical Research Council · ZASouth African National Biodiversity Institute · ZAUniversity of Bradford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhole genome sequencing (WGS) is increasingly used for Mycobacterium tuberculosis (Mtb) research. Countries with the highest tuberculosis (TB) burden face important challenges to integrate WGS into surveillance and research.

methodsWe assessed the global status of Mtb WGS and developed a 3-week training course coupled with long-term mentoring and WGS infrastructure building. Training focused on genome sequencing, bioinformatics and development of a locally relevant WGS research project. The aim of the long-term mentoring was to support trainees in project implementation and funding acquisition. The focus of WGS infrastructure building was on the DNA extraction process and bioinformatics.

findingsCompared to their TB burden, Asia and Africa are grossly underrepresented in Mtb WGS research. Challenges faced resulted in adaptations to the training, mentoring and infrastructure building. Out-of-date laptop hardware and operating systems were overcome by using online tools and a Galaxy WGS analysis pipeline. A case studies approach created a safe atmosphere for students to formulate and defend opinions. Because quality DNA extraction is paramount for WGS, a biosafety level 3 and general laboratory skill training session were added, use of commercial DNA extraction kits was introduced and a 2-week training in a highly equipped laboratory was combined with a 1-week training in the local setting.

interpretationBy developing and sharing the components of and experiences with a sequencing and bioinformatics training program, we hope to stimulate capacity building programs for Mtb WGS and empower high-burden countries to play an important role in WGS-based TB surveillance and research.

Indexed as

Computational BiologyGenome, BacterialWhole Genome SequencingAfricaAsiaCost of IllnessHumansMycobacterium tuberculosisTuberculosisAfricabioinformaticscapacity buildingMycobacterium tuberculosiswhole genome sequencing

Identifiers

PMID33009560
PMCPMC8293823
OpenAlexW3090825116

What OpenQuestion holds

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LicenceCC BY-NC
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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.