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 H3Africa researchers through the development of bioinformatics capacity on the continent. Catalogues on human genome variants produced by large-scale human genome variation projects provide a wealth of genome variation datasets to conduct research on the genomics and environmental determinants of common diseases with the goal of improving the health of African populations. A recognized need is to promote computational skills among African researchers to facilitate genomics-based research on human disease and health across the continent. Visual analytics, the science of analytical reasoning supported by interactive visual interfaces, provides computational tools and techniques to foster collaboration in making sense of data of any size. Participants will be introduced to the focus areas of visual analytics and learn visual analytics skills by working with datasets from catalogues on human genome variation such as 1000 genomes, National Human Genome Research Institute (NHGRI) GWAS Catalog and the Database of Genomic Variations. The expectation is that participants will initiate collaboration among the H3Africa consortium projects. The course is open to staff and students in the H3Africa Consortium projects. The successful applicant’s home institution/project shall be responsible for transportation (to and from Abuja), and accommodation (Bed and Breakfast) at Abuja, and dinners during their stay. The host institution (NABDA/FMST) shall provide, in addition to free tuition, Tea Breaks and lunches during the course.
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 H3Africa researchers through the development of bioinformatics capacity on the continent. Catalogues on human genome variants produced by large-scale human genome variation projects provide a wealth of genome variation datasets to conduct research on the genomics and environmental determinants of common diseases with the goal of improving the health of African populations. A recognized need is to promote computational skills among African researchers to facilitate genomics-based research on human disease and health across the continent. Visual analytics, the science of analytical reasoning supported by interactive visual interfaces, provides computational tools and techniques to foster collaboration in making sense of data of any size. Participants will be introduced to the focus areas of visual analytics and learn visual analytics skills by working with datasets from catalogues on human genome variation such as 1000 genomes, National Human Genome Research Institute (NHGRI) GWAS Catalog and the Database of Genomic Variations. The expectation is that participants will initiate collaboration among the H3Africa consortium projects. The course is open to staff and students in the H3Africa Consortium projects. The successful applicant’s home institution/project shall be responsible for transportation (to and from Abuja), and accommodation (Bed and Breakfast) at Abuja, and dinners during their stay. The host institution (NABDA/FMST) shall provide, in addition to free tuition, Tea Breaks and lunches during the course.
Intended Audience
H3Africa members interested to learn visual analytics skills
H3Africa members interested to learn visual analytics skills
Keywords: Visual Analytics, Human Genome, Datasets
Skill level of training:
Beginner
Language: English
Credential awarded: No credential awarded
Type of training: Face-to-face
Venue of the course: National Biotechnology Development Agency, Nigeria
Dates for the course:
Every Tuesday and Thursday from 10:30 CAT to 14:30 CAT
Course organisers: H3ABioNet
Participation: The course is open to staff and students in the H3Africa Consortium projects.
Course Sponsors: H3ABioNet
Local Classrooms
Course objectives
Classroom applications
Registration for classrooms opens:
Thu, 01/01/1970
Registration for classrooms closes:
Thu, 01/01/1970
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:
Tue, 25/06/2013
Registration for participants closes:
Mon, 15/07/2013
Participant registration link:
http://surveys.h3abionet.org/visualanalytics
Syllabus and Tools
Day 1: Monday, 29 July, 2013
Bioinformatics Research Categories
Definition, Focus Areas, Scope and Process of Visual Analytics
Hardware and Software for Visual Analytics
Hands-on Exercises
Day 2: Tuesday, 30 July, 2013
Introduction to Datasets of Catalogues on Human Gene Names
Hands-on Exercises
Day 3: Wednesday, 31 July, 2013
Introduction to Datasets of Catalogues on Human Genome Variation
Hands-on Exercises
Day 4: Thursday, 1 August, 2013
Collaborative Visual Analytics
Day 5: Friday, 2 August, 2013
Collaborative Visual Analytics
Course Evaluation
Prerequisites
Course limitations
For more information, please visit
Training material availability
Training materials for this course are not currently available.
