Register training material
15 materials found

Keywords: Experimental-design  or Make 


Variables

Variables from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/make/04-variables.md.

Keywords: Make

Variables https://tess.elixir-europe.org/materials/variables-649c1684-c3a3-4b70-ac79-e770a635fd2c Variables from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/make/04-variables.md. Make Intermediate
ChIP-seq analysis using R - Experimental design and peak calling.

This lecture is an introduction to ChIP-seq experiments and data. It provides a theoretical background to experimental design and peak calling.

Keywords: ChIP-Seq, Experimental-design, Peak-calling, Visualisation

ChIP-seq analysis using R - Experimental design and peak calling. https://tess.elixir-europe.org/materials/chip-seq-analysis-using-r-experimental-design-and-peak-calling-cfd4c18f-6c86-45ae-ab0b-630422c76af6 This lecture is an introduction to ChIP-seq experiments and data. It provides a theoretical background to experimental design and peak calling. ChIP-Seq, Experimental-design, Peak-calling, Visualisation
ChIP-seq analysis using R

ChIP-seq is the most commonly used technique to study binding profiles of chromatin proteins, such as TFs or histone modification patterns. This course is an introduction to ChIP-seq data, and data analysis mainly using R, some command line based peak-callers and online software. It provides a...

Keywords: ChIP-Seq, Experimental-design, Peak-calling, Differential-binding, Visualisation, Annotation, Homo-sapiens, R-programming

ChIP-seq analysis using R https://tess.elixir-europe.org/materials/chip-seq-analysis-using-r-5049bc9c-9bbb-4a6b-9244-37ed3980da0e ChIP-seq is the most commonly used technique to study binding profiles of chromatin proteins, such as TFs or histone modification patterns. This course is an introduction to ChIP-seq data, and data analysis mainly using R, some command line based peak-callers and online software. It provides a theoretical background and the means to perform peak calling and differential binding analysis. ChIP-Seq, Experimental-design, Peak-calling, Differential-binding, Visualisation, Annotation, Homo-sapiens, R-programming
ChIP-seq analysis using R - Experimental design and peak calling.

This lecture is an introduction to ChIP-seq experiments and data. It provides a theoretical background to experimental design and peak calling.

Keywords: ChIP-Seq, Experimental-design, Peak-calling, Visualisation

ChIP-seq analysis using R - Experimental design and peak calling. https://tess.elixir-europe.org/materials/chip-seq-analysis-using-r-experimental-design-and-peak-calling This lecture is an introduction to ChIP-seq experiments and data. It provides a theoretical background to experimental design and peak calling. ChIP-Seq, Experimental-design, Peak-calling, Visualisation
ChIP-seq analysis using R - Quality Control

This practical illustrates steps that can be undertaken to assess the quality of the sequencing data. We will start from the fastq files and assess their quality in respect to potential contamination and technical artifacts.

Scientific topics: RNA-Seq

Keywords: ChIP-Seq, RNA-Seq, QC, Data-format, Experimental-design

ChIP-seq analysis using R - Quality Control https://tess.elixir-europe.org/materials/chip-seq-analysis-using-r-quality-control This practical illustrates steps that can be undertaken to assess the quality of the sequencing data. We will start from the fastq files and assess their quality in respect to potential contamination and technical artifacts. RNA-Seq ChIP-Seq, RNA-Seq, QC, Data-format, Experimental-design
ChIP-seq analysis using R - File formats and QC

This lecture introduces the file formats of sequencing data before alignment and covers the general quality control of sequencing data focussing on RNA-Seq and ChIP-Seq.

Scientific topics: RNA-Seq

Keywords: ChIP-Seq, RNA-Seq, QC, Data-format, Experimental-design

ChIP-seq analysis using R - File formats and QC https://tess.elixir-europe.org/materials/chip-seq-analysis-using-r-file-formats-and-qc This lecture introduces the file formats of sequencing data before alignment and covers the general quality control of sequencing data focussing on RNA-Seq and ChIP-Seq. RNA-Seq ChIP-Seq, RNA-Seq, QC, Data-format, Experimental-design
ChIP-seq analysis using R - Quality Control Walkthrough

This practical illustrates steps that can be undertaken to assess the quality of the sequencing data. We will start from the fastq files and assess their quality in respect to potential contamination and technical artifacts.

Scientific topics: RNA-Seq

Keywords: ChIP-Seq, RNA-Seq, QC, Data-format, Experimental-design

ChIP-seq analysis using R - Quality Control Walkthrough https://tess.elixir-europe.org/materials/chip-seq-analysis-using-r-quality-control-walkthrough This practical illustrates steps that can be undertaken to assess the quality of the sequencing data. We will start from the fastq files and assess their quality in respect to potential contamination and technical artifacts. RNA-Seq ChIP-Seq, RNA-Seq, QC, Data-format, Experimental-design
Basic Tasks

Basic Tasks from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/make/01-basics.md.

Keywords: Make

Basic Tasks https://tess.elixir-europe.org/materials/basic-tasks Basic Tasks from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/make/01-basics.md. Make Intermediate
Further reading

Further reading from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/make/05-futher-reading.md.

Keywords: Make

Further reading https://tess.elixir-europe.org/materials/further-reading Further reading from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/make/05-futher-reading.md. Make Intermediate
Automatic variables and wildcards

Automatic variables and wildcards from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/make/02-automatic-variables.md.

Keywords: Make

Automatic variables and wildcards https://tess.elixir-europe.org/materials/automatic-variables-and-wildcards Automatic variables and wildcards from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/make/02-automatic-variables.md. Make Intermediate
Introduction

Introduction from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/make/00-intro.md.

Keywords: Make

Introduction https://tess.elixir-europe.org/materials/introduction Introduction from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/make/00-intro.md. Make Intermediate
Make Reference

Make Reference from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/make/reference.md.

Keywords: Make

Make Reference https://tess.elixir-europe.org/materials/make-reference Make Reference from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/make/reference.md. Make Intermediate
Patterns

Patterns from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/make/03-patterns.md.

Keywords: Make

Patterns https://tess.elixir-europe.org/materials/patterns Patterns from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/make/03-patterns.md. Make Intermediate
ChIP-Seq

No description available

Keywords: ChIP-Seq, Experimental-design, QC, ChIP-Seq-QC, Data-format, Alignment, Peak-calling, Differential-binding, Annotation

ChIP-Seq https://tess.elixir-europe.org/materials/chip-seq No description available ChIP-Seq, Experimental-design, QC, ChIP-Seq-QC, Data-format, Alignment, Peak-calling, Differential-binding, Annotation
ChIP-seq analysis using R

ChIP-seq is the most commonly used technique to study binding profiles of chromatin proteins, such as TFs or histone modification patterns. This course is an introduction to ChIP-seq data, and data analysis mainly using R, some command line based peak-callers and online software. It provides a...

Keywords: ChIP-Seq, Experimental-design, QC, Data-format, Alignment, Peak-calling, Differential-binding, Visualisation, Annotation

ChIP-seq analysis using R https://tess.elixir-europe.org/materials/chip-seq-analysis-using-r ChIP-seq is the most commonly used technique to study binding profiles of chromatin proteins, such as TFs or histone modification patterns. This course is an introduction to ChIP-seq data, and data analysis mainly using R, some command line based peak-callers and online software. It provides a theoretical background and the means to perform peak calling and differential binding analysis. ChIP-Seq, Experimental-design, QC, Data-format, Alignment, Peak-calling, Differential-binding, Visualisation, Annotation