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57 materials found

Content provider: NGS Registry 

Introduction to R and Bioconductor lecture

This reference handout goes over how to read and parse a line of complex R code.

Keywords: R-programming

Introduction to R and Bioconductor lecture http://tess.elixir-uk.org/materials/introduction-to-r-and-bioconductor-lecture-990e00de-2241-49f5-9577-5c110cc06a64 This reference handout goes over how to read and parse a line of complex R code. R-programming
RNA-seq module Frederik Coppens

Give a general overview of Next-Generation Sequencing: platforms, data formats, data analysis

Keywords: HTS-introduction

RNA-seq module Frederik Coppens http://tess.elixir-uk.org/materials/rna-seq-module-frederik-coppens-04138e29-fbd9-4f70-853a-e99add599877 Give a general overview of Next-Generation Sequencing: platforms, data formats, data analysis HTS-introduction
RNA-seq module Frederik Coppens

Material concerning RNA-seq analysis, with an emphasis on the statistical aspects.

Keywords: FASTQ, Alignment, BAM, Differential-expression, Statistical-model, Exploratory-analysis

RNA-seq module Frederik Coppens http://tess.elixir-uk.org/materials/rna-seq-module-frederik-coppens-4a328fa8-0bef-471c-84e4-b0d89d216128 Material concerning RNA-seq analysis, with an emphasis on the statistical aspects. FASTQ, Alignment, BAM, Differential-expression, Statistical-model, Exploratory-analysis
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. http://tess.elixir-uk.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 http://tess.elixir-uk.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. http://tess.elixir-uk.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 http://tess.elixir-uk.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 http://tess.elixir-uk.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 - Practical talk

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

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

ChIP-seq analysis using R - Practical talk http://tess.elixir-uk.org/materials/chip-seq-analysis-using-r-practical-talk ChIP-seq is the most commonly used technique to study binding profiles of chromatin proteins, such as TFs or histone modification patterns. This practical is an introduction to ChIP-seq data analysis mainly using R, some command line based peak-callers and online software. It provides means to perform peak calling, annotation, motif search and differential binding analysis. ChIP-Seq, Peak-calling, Differential-binding, Visualisation, Annotation, Homo-sapiens, R-programming
ChIP-seq analysis using R - Mapping and file formats

This lecture introduces the principles behind alignment, different tools and de-novo assembly. It also covers post mapping data format and quality control

Scientific topics: Sequence assembly, RNA-Seq

Keywords: ChIP-Seq, RNA-Seq, Alignment, Data-format, Assembly, QC

ChIP-seq analysis using R - Mapping and file formats http://tess.elixir-uk.org/materials/chip-seq-analysis-using-r-mapping-and-file-formats This lecture introduces the principles behind alignment, different tools and de-novo assembly. It also covers post mapping data format and quality control Sequence assembly RNA-Seq ChIP-Seq, RNA-Seq, Alignment, Data-format, Assembly, QC
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 http://tess.elixir-uk.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
ChIP-seq analysis using R - Practical

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

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

ChIP-seq analysis using R - Practical http://tess.elixir-uk.org/materials/chip-seq-analysis-using-r-practical ChIP-seq is the most commonly used technique to study binding profiles of chromatin proteins, such as TFs or histone modification patterns. This practical is an introduction to ChIP-seq data analysis mainly using R, some command line based peak-callers and online software. It provides means to perform peak calling, annotation, motif search and differential binding analysis. ChIP-Seq, Peak-calling, Differential-binding, Visualisation, Annotation, Homo-sapiens, R-programming
Alignment of RNA-Seq data

Focus on BAM format

Keywords: Alignment

Alignment of RNA-Seq data http://tess.elixir-uk.org/materials/alignment-of-rna-seq-data Focus on BAM format Alignment
Variant-calling

No description available

Keywords: Alignment, Annotation, BAM, BCF, De-novo-transcriptome-assembly, Exploratory-analysis, FASTQ, Pre-processing, QC, Statistical-model, Variant-calling, VCF

Variant-calling http://tess.elixir-uk.org/materials/variant-calling No description available Alignment, Annotation, BAM, BCF, De-novo-transcriptome-assembly, Exploratory-analysis, FASTQ, Pre-processing, QC, Statistical-model, Variant-calling, VCF
Guide to R swirl interactive lessons

This handout describes how to download the swirl package and start the basic interactive lessons to learn R.

Keywords: R-programming

Guide to R swirl interactive lessons http://tess.elixir-uk.org/materials/guide-to-r-swirl-interactive-lessons This handout describes how to download the swirl package and start the basic interactive lessons to learn R. R-programming
Day 4 - RNA-Seq Analysis

Day 4 focuses on the final steps after production of significant gene lists, including gene clustering, visualization, and annotation.

Keywords: Exploratory-analysis, Differential-expression, Statistical-model, Annotation

Day 4 - RNA-Seq Analysis http://tess.elixir-uk.org/materials/day-4-rna-seq-analysis Day 4 focuses on the final steps after production of significant gene lists, including gene clustering, visualization, and annotation. Exploratory-analysis, Differential-expression, Statistical-model, Annotation
Statistics and RNA-Seq

This lecture and optional practical introduce the relevant statistical concepts along with its computational counterparts used on a common RNA-Seq data analysis workflow.

Keywords: FASTQ, Alignment, BAM, Differential-expression, Statistical-model, Exploratory-analysis

Statistics and RNA-Seq http://tess.elixir-uk.org/materials/statistics-and-rna-seq This lecture and optional practical introduce the relevant statistical concepts along with its computational counterparts used on a common RNA-Seq data analysis workflow. FASTQ, Alignment, BAM, Differential-expression, Statistical-model, Exploratory-analysis
Introduction to RNA-seq analysis 2014

This lecture gives an overview how to perform an RNA-seq experiment. A general RNA-seq workflow is outlined when a good quality genome sequence is available for your species.

Keywords: Alignment, Differential-expression, Feature-summarisation, Pre-processing, QC

Introduction to RNA-seq analysis 2014 http://tess.elixir-uk.org/materials/introduction-to-rna-seq-analysis-2014 This lecture gives an overview how to perform an RNA-seq experiment. A general RNA-seq workflow is outlined when a good quality genome sequence is available for your species. Alignment, Differential-expression, Feature-summarisation, Pre-processing, QC
Introduction to R practice codes

These codes give an overview of R object types and programming language structure.

Keywords: R-programming

Introduction to R practice codes http://tess.elixir-uk.org/materials/introduction-to-r-practice-codes These codes give an overview of R object types and programming language structure. R-programming
RNA-seq training PSB 2013

This lecture gives an overview how to perform an RNA-seq experiment. First, the Illumina sequencing platform is briefly covered, followed by the different file formats in NGS. Next, an RNA-seq workflow is outlined, starting from the raw data up to differential expression. The recommended coverage...

Keywords: Alignment, Differential-expression, Feature-summarisation, Pre-processing, QC

RNA-seq training PSB 2013 http://tess.elixir-uk.org/materials/rna-seq-training-psb-2013 This lecture gives an overview how to perform an RNA-seq experiment. First, the Illumina sequencing platform is briefly covered, followed by the different file formats in NGS. Next, an RNA-seq workflow is outlined, starting from the raw data up to differential expression. The recommended coverage and sequencing mode is touched upon as well as the effect on your analysis of divergence of your genotype compared to the reference. Alignment, Differential-expression, Feature-summarisation, Pre-processing, QC
Material for the course RNA-seq data analysis with Chipster

This material covers the whole RNA-seq data analysis pipeline, from quality control of raw reads to differential expression analysis.

Scientific topics: RNA-Seq

Keywords: RNA-Seq, FASTQ, QC, Pre-processing, Alignment, BAM, Expression-estimation, Feature-summarisation, Differential-expression, Statistical-model, Exploratory-analysis

Material for the course RNA-seq data analysis with Chipster http://tess.elixir-uk.org/materials/material-for-the-course-rna-seq-data-analysis-with-chipster This material covers the whole RNA-seq data analysis pipeline, from quality control of raw reads to differential expression analysis. RNA-Seq RNA-Seq, FASTQ, QC, Pre-processing, Alignment, BAM, Expression-estimation, Feature-summarisation, Differential-expression, Statistical-model, Exploratory-analysis
RNA-seq module Bert Overduin

All material concerning RNA-seq analysis

Scientific topics: RNA-Seq

Keywords: RNA-Seq, Pre-processing, QC, Alignment

RNA-seq module Bert Overduin http://tess.elixir-uk.org/materials/rna-seq-module-bert-overduin All material concerning RNA-seq analysis RNA-Seq RNA-Seq, Pre-processing, QC, Alignment
Nicolas Delhomme and Bastian Schiffthaler

This merely lists the various courses at which we taught RNA-Seq data

Scientific topics: RNA-Seq

Keywords: FASTQ, GFF3, BAM, Populus-tremula, RNA-Seq, Pre-processing, QC, Alignment, Annotation, Expression-estimation, Differential-expression, R-programming

Nicolas Delhomme and Bastian Schiffthaler http://tess.elixir-uk.org/materials/nicolas-delhomme-and-bastian-schiffthaler This merely lists the various courses at which we taught RNA-Seq data RNA-Seq FASTQ, GFF3, BAM, Populus-tremula, RNA-Seq, Pre-processing, QC, Alignment, Annotation, Expression-estimation, Differential-expression, R-programming
Expression estimation

This introduces how to summarise short read alignments by the annotation of interest to obtain a count-table; i.e. the structure necessary to most downstream expression based analyses. Here, the focus is put on gene-expression, but the aspects of transcript-expression are briefly addressed.

Scientific topics: RNA-Seq

Keywords: GFF3, BAM, Populus-tremula, RNA-Seq, Expression-estimation

Expression estimation http://tess.elixir-uk.org/materials/expression-estimation This introduces how to summarise short read alignments by the annotation of interest to obtain a count-table; i.e. the structure necessary to most downstream expression based analyses. Here, the focus is put on gene-expression, but the aspects of transcript-expression are briefly addressed. RNA-Seq GFF3, BAM, Populus-tremula, RNA-Seq, Expression-estimation
Example “Variant Calling”

No description available

Example “Variant Calling” http://tess.elixir-uk.org/materials/example-variant-calling No description available
Mapping Quality Control

Perform QC on aligned data

Keywords: Alignment, BAM, QC

Mapping Quality Control http://tess.elixir-uk.org/materials/mapping-quality-control Perform QC on aligned data Alignment, BAM, QC
Day 3 - RNA-Seq Analysis

Day 3 focuses on statistical analysis of RNA-Seq data and identification of differentiall expressed genes in multiple comparisons.

Keywords: QC, Exploratory-analysis, Differential-expression, Statistical-model, Pre-processing

Day 3 - RNA-Seq Analysis http://tess.elixir-uk.org/materials/day-3-rna-seq-analysis Day 3 focuses on statistical analysis of RNA-Seq data and identification of differentiall expressed genes in multiple comparisons. QC, Exploratory-analysis, Differential-expression, Statistical-model, Pre-processing
RNA-Seq

RNA-Seq is an high throughput sequencing method commonly used to assess gene expression.

RNA-Seq http://tess.elixir-uk.org/materials/keywords RNA-Seq is an high throughput sequencing method commonly used to assess gene expression.
ChIP-Seq

No description available

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

ChIP-Seq http://tess.elixir-uk.org/materials/chip-seq No description available ChIP-Seq, Experimental-design, QC, ChIP-Seq-QC, Data-format, Alignment, Peak-calling, Differential-binding, Annotation
Tutorial

This file describes the main tutorial PDF file. Almost all tutorials and hands-on practices are indeed collated in a single document. In addition to this PDF, R code excerpts and installation instructions are also provided.

Scientific topics: RNA-Seq

Keywords: FASTQ, GFF3, BAM, Populus-tremula, RNA-Seq, Pre-processing, QC, Alignment, Annotation, Expression-estimation, R-programming

Tutorial http://tess.elixir-uk.org/materials/tutorial This file describes the main tutorial PDF file. Almost all tutorials and hands-on practices are indeed collated in a single document. In addition to this PDF, R code excerpts and installation instructions are also provided. RNA-Seq FASTQ, GFF3, BAM, Populus-tremula, RNA-Seq, Pre-processing, QC, Alignment, Annotation, Expression-estimation, R-programming