Bioinformatic Analysis of MIRU-VNTR Repeats of Mycobacterium Tuberculosis Strains from Lagos, Nigeria.


Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
27 May 2021
Historique:
entrez: 27 5 2021
pubmed: 28 5 2021
medline: 1 6 2021
Statut: ppublish

Résumé

The analysis of Mycobacterial Interpersed Repetitive Unit-Variable Number of Tandem Repeat (MIRU-VNTR) discriminates against the species of M. tuberculosis involved in the transmission of the disease. The reference method is the manual method. Our study involved developing a bioinformatics method of interpreting MIRU-VNTR and comparing it to the manual method. For this we used two softwares, namely imagej and Microsoft Excel. Imagej was used to determine the migration distance of the bands and for the measure of size in a base pair. The number of repetitions of 18 markers used was analyzed with Excel macro. The results obtained were: 27% of the results exactly consistent, 16% of outliers generated by the macro and 57% of the results not matching.

Identifiants

pubmed: 34042866
pii: SHTI210373
doi: 10.3233/SHTI210373
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1120-1121

Auteurs

Seydou Golo Barro (SG)

Nazi Boni University, Bobo-Dioulasso, Burkina Faso.
RETINES Lab - IRIS department - Medical Faculty of Nice University, France.

Faouziatou Bance (F)

Nazi Boni University, Bobo-Dioulasso, Burkina Faso.

Amadou Dicko (A)

Nazi Boni University, Bobo-Dioulasso, Burkina Faso.
National Institute of Public Health, Burkina Faso.

Michel Gomgnibou (M)

Nazi Boni University, Bobo-Dioulasso, Burkina Faso.

Pascal Staccini (P)

RETINES Lab - IRIS department - Medical Faculty of Nice University, France.

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Classifications MeSH