Course Overview
The H3Africa initiative is aimed at studying the genomic and environmental determinants of disease in Africa. The goals of H3Africa are to enhance the necessary genomic expertise among African scientists and to encourage collaborations between African investigators by supporting infrastructure development and research projects. H3ABioNet aims to create a sustainable African Bioinformatics Network to support and promote the development of bioinformatics capacity within Africa, by training the next generation of students in bioinformatics. To achieve this vision, H3ABioNet will be hosting a five week training workshop in bioinformatics aimed at students registered for a postgraduate academic degree in bioinformatics or a related discipline from the H3ABioNet Nodes and H3Africa projects from the 21st of April to the 26th of May 2014 at the Covenant University Bioinformatics Research (CUBRe) unit in Ota, Nigeria.
Intended Audience
The H3ABioNet Postgraduate workshop is aimed at developing a core set of specialised skills amongst registered postgraduate students within H3ABioNet and H3Africa projects to provide them with practical training in a variety of introductory bioinformatics topics to complement their ongoing research and education and strengthen the bioinformatics capacity within their Node/group.
Keywords: Biological data resources, Data handling, Sequence analysis, Genomics
Skill level of training: Beginner
Language: English
Credential awarded: No credential awarded
Type of training: Face-to-face
Venue of the course: Covenant University Bioinformatics Research (CUBRe) unit in Ota, Nigeria
Dates for the course: 21st of April to the 26th of May 2014
Course organisers: H3ABioNet and Covenant University Bioinformatics Research (CUBRe)
Participation: Registered postgraduate students within H3ABioNet and H3Africa projects
Course Sponsors: H3ABioNet Local Classrooms
Course objectives

The H3ABioNet 2014 Postgraduate workshop is aimed at providing post graduate students registered for an academic degree and are working on research projects with a significant component of bioinformatics with the necessary grounding in core bioinformatics topics. The H3ABioNet 2014 Postgraduate workshop aims to equip these individuals with the necessary skills to continue their ongoing bioinformatics education, further learn on topics that are of interest to them and apply the skills learnt to their academic research projects.


Classroom applications

Registration for classrooms opens: Thu, 01/01/1970
Registration for classrooms closes: Thu, 01/01/1970
Link to classroom application form:
Notification date for successful classrooms: Thu, 01/01/1970
Maximum number of participants that may be accepted per classroom will be capped at

Participant applications

Registration for participants opens: Thu, 01/01/1970
Registration for participants closes: Thu, 01/01/1970
Participant registration link:
Syllabus and Tools


Topic taught

Period Topic is Taught

Dates for Topic being taught

Dr Oyelade and Mrs Itunu Isewon

Introduction to linux and Python programing

Week 1

21st April to 25th April

Shaun Aron

Introduction to bioinformatics resources, Sequence alignment, and proteomics resources

Week 2

28th April to 2nd May

Dr. Jean-Baka Domelevo Entfellner

Introduction to Biostatistics

Week 3

5th May to 9th May

Dr. Takafumi Yamaguchi and Dr. Lawrence Heisler


Week 4

12th May to 16th May

Dr. Segun Fatumo


Week 4

16th May, 19th May

Dr. Kais Ghedira and Dr. Amel Ghoulia

Databases, mining and analysis workflows / pipelines

Week 5

19th May to 23rd May

Dr Oyelade and Miss Itunu Ewejobi

Python programming for 3 hours every day

Throughout the workshop

28th April to 24th May


Successful applicants would be required to complete some prerequisites which may include on-line courses prior to the commencement of the H3ABioNet 2014 Postgraduate workshop. Participants would be notified of these requirements upon admission.

Course limitations
For more information, please visit
Training material availability

Training materials for this course are available as a single downloadable archive here: Should you re-use any of these materials, please ensure that both the author/s of the material AND H3ABioNet are clearly credited.