Literature DB >> 32561119

Report of the 1st African Enteric Viruses Genome Initiative (AEVGI) Data and Bioinformatics Workshop on whole-genome analysis of some African rotavirus strains held in Bloemfontein, South Africa.

Martin M Nyaga1, Saheed Sabiu2, Valantine N Ndze3, Francis E Dennis4, Khuzwayo C Jere5.   

Abstract

The University of the Free State - Next Generation Sequencing (NGS) Unit, Bloemfontein, South Africa, hosted a data and bioinformatics workshop from 19 to 22 June 2018. The workshop was coordinated by the African Enteric Viruses Genome Initiative (AEVGI) with support from the Bill & Melinda Gates Foundation. The event introduced technologies in NGS and data analysis with focus on the rotavirus (RV) genome. The workshop fostered interactions and networking between professionals, scientific experts, technicians and students. The courses provided an overview of RV diarrhoea and its burden in Africa, while highlighting the key resources and methodologies in NGS and advanced bioinformatics in deciphering vaccine impact. It was concluded that, despite the reported significant decline in RV associated-diarrhoea mortality and morbidity in Africa due to RV vaccine impact, the need for continuous surveillance and genomic characterization to better understand the ever-changing dynamics of RV strains is imperative.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Africa; Bioinformatics; Diarrhoea; Rotavirus; Vaccine; Whole genome sequencing

Mesh:

Substances:

Year:  2020        PMID: 32561119     DOI: 10.1016/j.vaccine.2020.06.010

Source DB:  PubMed          Journal:  Vaccine        ISSN: 0264-410X            Impact factor:   3.641


  2 in total

1.  Whole-Genome Analyses Identifies Multiple Reassortant Rotavirus Strains in Rwanda Post-Vaccine Introduction.

Authors:  Sebotsana Rasebotsa; Jeannine Uwimana; Milton T Mogotsi; Kebareng Rakau; Nonkululeko B Magagula; Mapaseka L Seheri; Jason M Mwenda; M Jeffrey Mphahlele; Saheed Sabiu; Richard Mihigo; Leon Mutesa; Martin M Nyaga
Journal:  Viruses       Date:  2021-01-12       Impact factor: 5.048

2.  Protein structure prediction based on particle swarm optimization and tabu search strategy.

Authors:  Yu Shuchun; Li Xianxiang; Tian Xue; Pang Ming
Journal:  BMC Bioinformatics       Date:  2022-08-23       Impact factor: 3.307

  2 in total

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