High-throughput sequencing training materials repository

This repository includes training materials on the analysis of high-throughput sequencing (HTS) data, on the following topics: Introduction to HTS, RNA-seq, ChIP-seq and variant calling analysis.
Materials have been annotated following the standards and guidelines proposed at the “Best practices in next-generation sequencing data analysis” workshop which took place at the University of Cambridge, UK, on 13-14 January 2015.
Following this workshop, a Git repository has been set up for sharing annotated materials. This repository uses Git, hence it is decentralized and self-managed by the community and can be forked/built-upon by all users.

Scientific topics: Data architecture, analysis and design, Bioinformatics

Keywords: High throughput sequencing analysis, Rna seq chip seq anayses, Variant calling

Target audience: Life Science Researchers, PhD students, Trainers, beginner bioinformaticians, post-docs

Authors: Gabriella Rustici

Remote created date: 2015-12-17

Remote updated date: 2017-10-09

High-throughput sequencing training materials repository https://tess.elixir-europe.org/materials/high-throughput-sequencing-training-materials-repository This repository includes training materials on the analysis of high-throughput sequencing (HTS) data, on the following topics: Introduction to HTS, RNA-seq, ChIP-seq and variant calling analysis. Materials have been annotated following the standards and guidelines proposed at the “Best practices in next-generation sequencing data analysis” workshop which took place at the University of Cambridge, UK, on 13-14 January 2015. Following this workshop, a Git repository has been set up for sharing annotated materials. This repository uses Git, hence it is decentralized and self-managed by the community and can be forked/built-upon by all users. Data architecture, analysis and design Bioinformatics High throughput sequencing analysis, Rna seq chip seq anayses, Variant calling Life Science Researchers PhD students Trainers beginner bioinformaticians post-docs 2015-12-17 2017-10-09