Scientific topics: Workflows
Introduction to Linux and Workflows for Biologists
14 - 18 May 2018
Edinburgh, United KingdomIntroduction to Linux and Workflows for Biologists https://genomics.ed.ac.uk/services/introduction-linux-and-workflows-biologists https://tess.elixir-europe.org/events/introduction-to-linux-and-workflows-for-biologists-866df86c-a827-433d-9445-af7726bcf5a1 Most high-throughput bioinformatics work these days takes place on the Linux command line. The programs which do the majority of the computational heavy lifting — genome assemblers, read mappers, and annotation tools — are designed to work best when used with a command-line interface. Because the command line can be an intimidating environment, many biologists learn the bare minimum needed to get their analysis tools working. This means that they miss out on the power of Linux to customise their environment and automate many parts of the bioinformatics workflow. This course will introduce the Linux command line environment from scratch and teach students how to make the most of its tools to achieve a high level of productivity when working with biological data. 2018-05-14 09:00:00 UTC 2018-05-18 17:00:00 UTC The King's Buildings, The University of Edinburgh, Edinburgh, United Kingdom The King's Buildings, The University of Edinburgh Edinburgh United Kingdom EH9 3JN Workflows Bioinformatics Edinburgh Genomics Bert Overduin - firstname.lastname@example.org   workshops_and_courses  BioinformaticsLinuxWorkflows
H3ABioNet 2018 Genotyping Chip Data Analysis and GWAS lecture series - Lecture 1
20 August 2018H3ABioNet 2018 Genotyping Chip Data Analysis and GWAS lecture series - Lecture 1 https://www.youtube.com/watch?v=4_-pxWFUpfU&list=PLcQ0XMykNhCQJPz0amnbz9BPM4Bu0Nkgf 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 email@example.com 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
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