Organizer: H3ABioNet

Host institution: H3ABioNet

Start: Monday, 20 August 2018 @ 15:00

End: Monday, 20 August 2018 @ 16:30

Timezone: Central African Time (CAT)

Sponsors: H3ABioNet

Contact: info@h3abionet.org

Scientific topic: Population genomics, Genotyping experiment, Computational biology, Workflows, GWAS study, Bioinformatics

Target audience:
  • Anyone intersted in GWAS and using the H3Africa genotyping chip
  • Anyone who wants to learn more about GWAS
Description:

Computational requirements for running the H3ABioNet GWAS workflows

The first of a series of seven online lectures for Genome Wide Association Studies (GWAS) will cover the technical requirements for setting up a your computational environment for running the H3ABioNet GWAS workflows. In this inaugural lecture of the series, Prof. Hazelhurst will cover the the following topics:
Installing and using Nextflow
Installing and using Github
Use of containers for packaging and running tools
Pulling the GWAS pipeline from Github and running it

As this lecture aims to provide attendees with an environment to the run the H3ABioNet GWAS workflow at their own pace, there are some preliminary software requirements:
Either a Linux machine or an Apple running macOS
Ideally you should have machine with at least 2-4 cores and 8GB of RAM.
Java 8
Nextflow installed (see installation instructions at https://www.nextflow.io/)
Python 3

Please also install either Docker OR the following dependencies using pip3:
Pandas, Matplotlib, Openpyxl, SciPy, NumPy
PLINK 1.9

[Please also refer to the following documentation to obtain the H3ABioNet GWAS workflow]:
https://github.com/h3abionet/h3agwas/blob/master/README.md

Event type:
  • Workshops and courses

Keywords: Nextflow, Docker, H3ABioNet, GWAS, Workflows, Genotyping array analysis , bioinformatics, Africa, Population Genomics, Reproducible Science, H3Africa genotyping array, High performance computing, Cloud computing, GWAS workflow, H3ABioNet GWAS 2018 Lecture Series

H3ABioNet 2018 Genotyping Chip Data Analysis and GWAS lecture series - Lecture 1 https://tess.elixir-europe.org/events/h3abionet-2018-genotyping-chip-data-analysis-and-gwas-lecture-series #### Computational requirements for running the H3ABioNet GWAS workflows The first of a series of seven online lectures for Genome Wide Association Studies (GWAS) will cover the technical requirements for setting up a your computational environment for running the H3ABioNet GWAS workflows. In this inaugural lecture of the series, Prof. Hazelhurst will cover the the following topics: Installing and using Nextflow Installing and using Github Use of containers for packaging and running tools Pulling the GWAS pipeline from Github and running it As this lecture aims to provide attendees with an environment to the run the H3ABioNet GWAS workflow at their own pace, there are some preliminary software requirements: Either a Linux machine or an Apple running macOS Ideally you should have machine with at least 2-4 cores and 8GB of RAM. Java 8 Nextflow installed (see installation instructions at https://www.nextflow.io/) Python 3 Please also install either Docker OR the following dependencies using pip3: Pandas, Matplotlib, Openpyxl, SciPy, NumPy PLINK 1.9 [Please also refer to the following documentation to obtain the H3ABioNet GWAS workflow]: https://github.com/h3abionet/h3agwas/blob/master/README.md 2018-08-20 15:00:00 UTC 2018-08-20 16:30:00 UTC H3ABioNet Population genomics Genotyping experiment Computational biology Workflows GWAS study Bioinformatics H3ABioNet info@h3abionet.org H3ABioNet Anyone intersted in GWAS and using the H3Africa genotyping chipAnyone who wants to learn more about GWAS workshops_and_courses [] NextflowDockerH3ABioNetGWASWorkflowsGenotyping array analysis bioinformaticsAfricaPopulation GenomicsReproducible ScienceH3Africa genotyping arrayHigh performance computingCloud computingGWAS workflowH3ABioNet GWAS 2018 Lecture Series