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Introduction to Biostatistics for Genome Wide Association Testing-20220202T085508Z-001.zip (20.9 MB)

Introduction to Biostatistics for Genome Wide Association Testing Training Material Archive

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posted on 2022-03-04, 07:52 authored by Jean-Baka Domelevo Entfellner, Ahmed Rebaï, Najla Kharrat, Amel Ghouila, Kais GhediraKais Ghedira, Alia Benkahla, Mohamed Alibi

This is an archive containing training materials for the H3ABioNet course: “Introduction to Biostatistics for Genome Wide Association Testing”.


Brief description of the course:

The “Introduction to Biostatistics for Genome Wide Association testing” workshop provides an introduction to the basic concepts in biostatistics required for genome wide association studies, e.g. data types, experimental design, statistical tests, probabilities, R, etc. During the second week, basic statistical concepts relevant to population genetics and genome wide association tests will be introduced to build foundational knowledge for genome wide association studies. The workshop will consist of a series of theory and lectures during the morning sessions and “hands on” practical lab sessions during the afternoon periods.


Intended Audience: This workshop is aimed at H3Africa project members who will be involved in the design and analyses of population data and genome wide association testing, and those who need statistical skills for their research.


Course trainers/authors:

Dr. Jean-Baka Domelevo Entfellner

Prof. Ahmed Rebai

Dr Najla Kharrat

Dr Amel Ghouila

Dr Kais Ghedira

Prof. Alia Benkahla

Mohamed Alibi


Course sponsor/organisers:

H3ABioNet and the Institut Pasteur de Tunis H3ABioNet Node


Course level: Introductory


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

  • Lecture materials which include lecture slides, tutorials and datasets


Funding information:

H3ABioNet is supported by the National Human Genome Research Institute of the National Institutes of Health under Award Number U24HG006941. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.


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


Funding

H3ABioNet: informatics solutions for H3Africa

National Human Genome Research Institute

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History

Department/Unit

Computational Biology, H3ABioNet

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