AFRICAN INITIATIVE FOR BIOINFORMATICS ONLINE TRAINING IN NEURODEGENERATIVE DISEASES (AI-BOND)
The African Initiative on Bioinformatics Online Training in Neurodegenerative Diseases (AI-BOND) project is a comprehensive program aimed at advancing bioinformatics expertise in Africa for the study of neurodegenerative diseases. Neurodegenerative disorders, such as Alzheimer’s, Parkinson’s, and Huntington’s diseases, entail significant challenges to healthcare systems worldwide, and Africa is no exception.
The AI-BOND project seeks to address this issue by providing accessible and high-quality online training in bioinformatics, with a specific focus on the analysis of genomic and proteomic data related to neurodegenerative diseases. The project brings together a multidisciplinary team of experts, including bioinformaticians, neuroscientists, educators and mentors to develop and deliver a curated curriculum combining theoretical knowledge and practical skills.
The online training program covers a wide range of topics, including R programing, Python, genomics, transcriptomics, proteomics, Metabolomics, analysis, and statistical methods, all tailored to the study of neurodegenerative diseases. The curriculum is designed to accommodate participants at various levels of expertise, from beginners/bachelors’ level to advanced learners/graduate students currently studying in or have graduated from faculties in African countries, especially from Sub-Saharan Africa (SSA). The training includes interactive modules, lectures, and collaborative projects.
Upon completion of the training, the participants will receive a training certificate from the Brain Research Africa Initiative (BRAIN) organization (www.brainafrica.org), which has developed the project with its partners.
The selection process is going to be highly competitive, and priority will be given to applicants fulfilling the following criteria:
1. Applicants in the top 25 range after classification;
2. Background in computational or medical sciences;
3. Access to excellent internet and having a personal laptop;
4. Having an ongoing project or a plan to develop a project on bioinformatics and neurodegenerative disorders.
No registration or training fee is applicable for this course.
Course Faculty includes:
1. Xueqiu Jian, PhD, Genetic Epidemiologist
Assistant Professor, The University of Texas Health Science Center at San Antonio
2. Muralidharan Sargurupremraj, PhD, Genetic Epidemiologist
Assistant Professor, The University of Texas Health Science Center at San Antonio
3. Jayandra Himali, PhD, Biostatistician
Associate Professor, The University of Texas Health Science Center at San Antonio
4. Yannick Wadop, Bioinformatician
Postdoctoral Fellow, The University of Texas Health Science Center at San Antonio
5. Paul Faustin Seke Etet, PhD, Neuroscientist & Bioinformatician
Associate Professor, The University of Garoua, Cameroon
6. Bernard Fongang, PhD, Bioinformatician
Assistant Professor, The University of Texas Health Science Center at San Antonio
7. Wepnyu Yembe Njamnshi, MD, MSc
Clinical and Developmental Neuropsychologist, Brain Research Africa Initiative (BRAIN)
8. Cyrille D. Nkouonlack, MD, Neurologist
University of Buea, Cameroon
9. Emmanuel Epenge, MD, Neurologist
Atlantic Fellow for Equity and Brain Health, University of California San Francisco
Université Protestante Au Congo Kishasa DRC
10. Biniyam A. Ayele, MD
Atlantic Fellow for Equity and Brain Health, University of California San Francisco
Assistant Professor of Neurology, Department of Neurology, Addis Ababa University Ethiopia
11. Alice Nono Djotsa
Research Health Science Specialist, Baylor College of Medicine, Houston, TX
12. Alfred N. Fonteh, PhD
Associate Professor, Neuroscience Program, Huntington Medical Research Institute, Pasadena, USA
13. Abdon Atangana, PhD
Professor of Applied Mathematics, Natural and Agricultural Sciences, Institute of Groundwater Studies
University of Free State
14. Alfred K. Njamnshi, MD, MA, DMS, FMH, FCAS, FRCP (UK)
Professor of Neurology & Neuroscience, The University of Yaoundé I & Brain Research Africa Initiative (BRAIN)
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