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

Domain:

healthcare

Record type:

datasetsoftware
Creator:
Bhatt, AmiBot
Publisher:
Uni
Host:avatar
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 UniversityGerrit 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 courseCourse information file - which contains the original information about the course and includes a course scheduleGithub repositoryThis upload was performed by: Verena Ras | H3ABioNet Training and Outreach Coordinator

Visit

doi.orgzivahub.uct.ac.za

Tags

MicrobiologyFOS: Biological sciences60102 BioinformaticsFOS: Computer and information sciences80301 Bioinformatics Software

Licenses

Creative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

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