University of Cape Town
Analysing the Microbiome (724.71 kB)

Analyzing the Microbiome 29th to 31st March 2017 Training Material Archive

Download (724.71 kB)
educational resource
posted on 2022-03-04, 13:25 authored by Ami Bhatt, Gerrit Botha

This is an archive containing training materials for the H3ABioNet course: “Analysing the Microbiome 29th to 31st March 2017”.

Brief description of the course:

The development of next generation sequence technology has led to rapid advances in microbiome study. The Sydney Brenner Institute for Molecular Bioscience with support from the Pan-African Bioinformatics Network for H3Africa will be offering a short-course on the bioinformatics of analysing the microbiome. The course will give an overview of conducting a microbiome study, present some of the most important techniques, and will include some hands-on use of some the key tools. The course will cover analysis both using both 16S RNA gene sequences and shotgun sequencing

Participation: The workshop was aimed at individuals of research groups within the University of the Witwatersrand and associated Institutions, AWI-Gen and H3Africa members that will be working on analysing microbiome data.

Course trainers/authors:

Ami Bhatt | Departments of Medicine and Genetics, Stanford University

Gerrit Botha | Computational Biology Division, University of Cape Town

Course sponsor/organisers:

Professor Scott Hazelhurst, Professor Nicola Mulder, Ami Bhatt, Gerrit Botha, Africa Wits-INDEPTH Partnership for Genomic Research, Sydney Brenner Institute for Molecular Bioscience, H3ABioNet

Course level: Intermediate

The archive contains the following items:

  • Trainer/creator file containing the names of the person/s responsible for organising and delivering the course

  • Course information file - which contains the original information about the course and includes a course schedule

  • Github repository

This upload was performed by: Verena Ras | H3ABioNet Training and Outreach Coordinator


H3ABioNet: informatics solutions for H3Africa

National Human Genome Research Institute

Find out more...



Computational Biology