3 materials found
Keywords: Variant calling
DNA-seq analysis: From raw reads to processed alignments
Objectives: Mapping the DNA-seq data to the reference genome Process the alignments for the variant calling
DNA-seq analysis: From raw reads to processed alignments
https://www.france-bioinformatique.fr/en/node/1922
https://tess.elixir-europe.org/materials/dna-seq-analysis-from-raw-reads-to-processed-alignments
Objectives:
Mapping the DNA-seq data to the reference genome
Process the alignments for the variant calling
Alignment, DNA-seq, Genomics, Variant calling
Initiation to Galaxy
DNA-sequence analysis: from raw reads to variants calling within the galaxy environement.
Initiation to Galaxy
https://www.france-bioinformatique.fr/en/node/1912
https://tess.elixir-europe.org/materials/initiation-to-galaxy
DNA-sequence analysis: from raw reads to variants calling within the galaxy environement.
DNA Analysis, Galaxy, Variant calling
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...
High-throughput sequencing training materials repository
https://www.mygoblet.org/training-portal/materials/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.
Gabriella Rustici
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