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Scientific topics: RNA-Seq 

Tutorial on CARNIVAL

This is a tutorial to guide the analysis of RNAseq dataset using footprint based tools such as DOROTHEA, PROGENY and CARNIVAL

Scientific topics: RNA-Seq, Omics, Gene expression, Molecular interactions, pathways and networks

Operations: RNA-Seq analysis, Network analysis

Keywords: HPC, Signaling, RNAseq, transcriptomics

Resource type: Tutorial

Tutorial on CARNIVAL http://tess.elixir-uk.org/materials/tutorial-on-carnival This is a tutorial to guide the analysis of RNAseq dataset using footprint based tools such as DOROTHEA, PROGENY and CARNIVAL RNA-Seq Omics Gene expression Molecular interactions, pathways and networks HPC, Signaling, RNAseq, transcriptomics
A Tidy Transcriptomics introduction to RNA-Seq analyses

This workshop will present how to perform analysis of RNA sequencing data following the tidy data paradigm, using the tidybulk, tidyHeatmap and tidyverse packages.

Scientific topics: RNA-Seq

Keywords: Differential Expression, Gene Expression, RNA-seq, Transcriptomics

Resource type: Tutorial

A Tidy Transcriptomics introduction to RNA-Seq analyses http://tess.elixir-uk.org/materials/a-tidy-transcriptomics-introduction-to-rna-seq-analyses This workshop will present how to perform analysis of RNA sequencing data following the tidy data paradigm, using the tidybulk, tidyHeatmap and tidyverse packages. RNA-Seq Differential Expression, Gene Expression, RNA-seq, Transcriptomics Biologists
Detecting differentially expressed genes with RNA-seq 11.9.2019

This workshop introduces the participants to RNA-seq data analysis methods, tools and file formats. It covers the whole workflow from quality control and alignment to quantification and differential gene expression analysis. The workshop consists of lectures and practical exercises. The free and...

Scientific topics: RNA-Seq

Detecting differentially expressed genes with RNA-seq 11.9.2019 http://tess.elixir-uk.org/materials/detecting-differentially-expressed-genes-with-rna-seq This workshop introduces the participants to RNA-seq data analysis methods, tools and file formats. It covers the whole workflow from quality control and alignment to quantification and differential gene expression analysis. The workshop consists of lectures and practical exercises. The free and user-friendly Chipster software is used in the exercises, so no previous knowledge of Unix or R is required, and the workshop is thus suitable for everybody. RNA-Seq
Bioinformatics Summer School 2019

This one-week intensive summer school in bioinformatics will focus on data analysis and high throughput biology, with a special focus on R/Bioconductor and its application to a wide range of topics across bioinformatics and computational biology. The course is intended for researchers who are...

Scientific topics: Statistics and probability, Omics, RNA-Seq, Proteomics

Operations: Data handling

Bioinformatics Summer School 2019 http://tess.elixir-uk.org/materials/bioinformatics-summer-school-2019 This one-week intensive summer school in bioinformatics will focus on data analysis and high throughput biology, with a special focus on R/Bioconductor and its application to a wide range of topics across bioinformatics and computational biology. The course is intended for researchers who are familiar with omics experimental technologies and their applications in biology, have had some exposure with R, and who want to learn or expand their bioinformatics skills. Martin Morgan Laurent Gatto Janick Mathys Lieven Clement Charlotte Soneson Koen Van den Berge Oliver Crook Statistics and probability Omics RNA-Seq Proteomics PhD students
Single cell RNA-seq data analysis with R

This international hands-on course covers several aspects of single cell RNA-seq data analysis, ranging from clustering and differential gene expression analysis to trajectories, cell type identification and spatial transcriptomics. The course is kindly sponsored by the ELIXIR EXCELERATE...

Scientific topics: RNA-Seq

Keywords: RNA-Seq, Single Cell technologies, scRNA-seq

Resource type: course materials

Single cell RNA-seq data analysis with R http://tess.elixir-uk.org/materials/single-cell-rna-seq-data-analysis-with-r-26ec3ec0-8f43-47db-9788-7f8f63eb447b This international hands-on course covers several aspects of single cell RNA-seq data analysis, ranging from clustering and differential gene expression analysis to trajectories, cell type identification and spatial transcriptomics. The course is kindly sponsored by the ELIXIR EXCELERATE project. Note: You can find all the course material including the R code and data files in the course [GitHub](https://github.com/NBISweden/excelerate-scRNAseq) repository, and the lecture videos are available as a [YouTube playlist](https://www.youtube.com/playlist?list=PLjiXAZO27elC_xnk7gVNM85I2IQl5BEJN). Eija Korpelainen @eija, ekorpelainen@gmail.com RNA-Seq RNA-Seq, Single Cell technologies, scRNA-seq bioinformaticians Biologists
RNA-Seq Lab: Workflow -- gene-level exploratory analysis and differential expression

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Scientific topics: RNA-Seq

RNA-Seq Lab: Workflow -- gene-level exploratory analysis and differential expression http://tess.elixir-uk.org/materials/rna-seq-lab-workflow-gene-level-exploratory-analysis-and-differential-expression Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. RNA-Seq
Single cell RNA-seq data analysis with R

This hands-on course introduces the participants to single cell RNA-seq data analysis concepts and popular tools and R packages. It covers the preprocessing steps from raw sequence reads to expression matrix as well as clustering, cell type identification, differential expression analysis and...

Scientific topics: RNA-Seq

Keywords: RNA-Seq, Single Cell technologies, scRNA-seq

Resource type: course materials

Single cell RNA-seq data analysis with R http://tess.elixir-uk.org/materials/single-cell-rna-seq-data-analysis-with-r This hands-on course introduces the participants to single cell RNA-seq data analysis concepts and popular tools and R packages. It covers the preprocessing steps from raw sequence reads to expression matrix as well as clustering, cell type identification, differential expression analysis and pseudotime analysis. Eija Korpelainen RNA-Seq RNA-Seq, Single Cell technologies, scRNA-seq bioinformaticians Biologists
Single cell RNA-seq data analysis with Chipster

This course introduces single cell RNA-seq data analysis methods, tools and file formats. It covers the preprocessing steps of DropSeq data from raw reads to a digital gene expression matrix (DGE), and how to find sub-populations of cells using clustering with the Seurat tools. You will also...

Scientific topics: RNA-Seq

Keywords: RNA-Seq, Single Cell technologies, scRNA-seq

Resource type: course materials, Video

Single cell RNA-seq data analysis with Chipster http://tess.elixir-uk.org/materials/single-cell-rna-seq-data-analysis-with-chipster-6cc8f0fb-1c92-444b-ab19-b04fe6454430 This course introduces single cell RNA-seq data analysis methods, tools and file formats. It covers the preprocessing steps of DropSeq data from raw reads to a digital gene expression matrix (DGE), and how to find sub-populations of cells using clustering with the Seurat tools. You will also learn how to compare two samples and detect conserved cluster markers and differentially expressed genes in them. The user-friendly Chipster software is used in the exercises, so no Unix or R experience is required and the course is thus suitable for everybody. Eija Korpelainen RNA-Seq RNA-Seq, Single Cell technologies, scRNA-seq Biologists bioinformaticians
Virus detection using small RNA-seq

This course introduces the VirusDetect pipeline covering all the analysis steps and file formats. VirusDetect allows you to detect known viruses and identify news ones by sequencing small RNAs (siRNA) in host samples. siRNA sequences are assembled to contigs and compared to known virus sequences....

Scientific topics: RNA-Seq

Resource type: course materials, Video

Virus detection using small RNA-seq http://tess.elixir-uk.org/materials/virus-detection-using-small-rna-seq This course introduces the VirusDetect pipeline covering all the analysis steps and file formats. VirusDetect allows you to detect known viruses and identify news ones by sequencing small RNAs (siRNA) in host samples. siRNA sequences are assembled to contigs and compared to known virus sequences. The user-friendly Chipster software is used in the exercises, so no Unix or R experience is required and the course is thus suitable for everybody. Eija Korpelainen RNA-Seq
RNA-seq data analysis

This course introduces RNA-seq data analysis methods, tools and file formats. It covers all the steps from quality control and alignment to quantification and differential expression analysis, and also experimental design is discussed. The user-friendly Chipster software is used in the exercises,...

Scientific topics: RNA-Seq

Resource type: course materials, Video

RNA-seq data analysis http://tess.elixir-uk.org/materials/rna-seq-data-analysis-with-chipster This course introduces RNA-seq data analysis methods, tools and file formats. It covers all the steps from quality control and alignment to quantification and differential expression analysis, and also experimental design is discussed. The user-friendly Chipster software is used in the exercises, so no Unix or R experience is required and the course is thus suitable for everybody. Eija Korpelainen RNA-Seq
RNA-Seq Analysis

This course builds on the core skills introduced in the Introduction to R, Introduction to Unix and Introduction to SeqMonk courses to provide a more in depth look at the analysis of RNA-Seq data. The course starts with a comprehensive lecture covering the theory of RNA-Seq data generation and...

Scientific topics: RNA-Seq

RNA-Seq Analysis http://tess.elixir-uk.org/materials/rna-seq-analysis-d7e62d71-a253-4168-8b5d-6838a2384978 This course builds on the core skills introduced in the Introduction to R, Introduction to Unix and Introduction to SeqMonk courses to provide a more in depth look at the analysis of RNA-Seq data. The course starts with a comprehensive lecture covering the theory of RNA-Seq data generation and analysis and is then followed by a long hands-on practical session which runs though the entire RNA-Seq analysis pipeline from raw fastq files to a list of differentially expressed candidate genes. RNA-Seq
Introduction to RNA-Seq Using Galaxy: Studying the transcriptome

RNA-Seq provides a method for understanding transcriptional dynamics in biological systems. It has immense power to enhance our understanding of those systems, but carrying out RNA-Seq analysis requires use of multiple related software packages. This hands-on course provides experience in using...

Scientific topics: RNA, RNA-Seq

Keywords: John Innes Centre, JIC

Introduction to RNA-Seq Using Galaxy: Studying the transcriptome http://tess.elixir-uk.org/materials/introduction-to-rna-seq-using-galaxy RNA-Seq provides a method for understanding transcriptional dynamics in biological systems. It has immense power to enhance our understanding of those systems, but carrying out RNA-Seq analysis requires use of multiple related software packages. This hands-on course provides experience in using these packages as part of an RNA-Seq analysis pipeline. RNA RNA-Seq John Innes Centre, JIC Students, postdocs or RAs who have an interest in bioinformatics and who intend to conduct RNA-Seq analysis on a Galaxy platform
RNA-Seq analysis for differential expression

We first perform quality control of the sequence reads to detect biases or leftover adaptors. We then map the reads to the reference genome with use of a transcript database model. We perform a detailed QC analysis of the mapping results to again detect potential problems. The mapping data is...

Scientific topics: RNA-Seq, Gene expression, Differential gene expression profiling

RNA-Seq analysis for differential expression http://tess.elixir-uk.org/materials/rna-seq-analysis-for-differential-expression We first perform quality control of the sequence reads to detect biases or leftover adaptors. We then map the reads to the reference genome with use of a transcript database model. We perform a detailed QC analysis of the mapping results to again detect potential problems. The mapping data is adjusted to compensate for artifacts like duplicates. The mappings are used to obtain transcript counts usable for differential expression. The count tables are merged and used to compute differential expression using several programs. We START a typical functional analysis of the obtained results similar to what is done for microarray data in order to exemplify handy tools and commercial alternatives. The code pieces used during the training are made available through our Wiki as well as detailed results and can be copied and adapted for own user needs with minimal edits. Key results have been saved to our server and can be downloaded to fully reproduce the training. RNA-Seq Gene expression Differential gene expression profiling Life Science Researchers PhD students beginner bioinformaticians post-docs 2016-04-22 2017-10-09
GATK Best practices for variant discovery

ÔÇïIn the course of this workshop, we highlight key functionalities such as  GVCF workflow for joint variant discovery in cohorts RNAseq-specific processing somatic variant discovery using MuTect2.  capabilities of the upcoming GATK version 4, including a new workflow for CNV discovery the use...

Scientific topics: RNA-Seq

GATK Best practices for variant discovery http://tess.elixir-uk.org/materials/gatk-best-practices-for-variant-discovery ÔÇïIn the course of this workshop, we highlight key functionalities such as  GVCF workflow for joint variant discovery in cohorts RNAseq-specific processing somatic variant discovery using MuTect2.  capabilities of the upcoming GATK version 4, including a new workflow for CNV discovery the use of pipelining tools to assemble and execute GATK workflows. RNA-Seq Life Science Researchers PhD students beginner bioinformaticians post-docs 2016-04-22 2017-10-09
Downstream processing of RNA-Seq data in GenePattern

- Run RNA-seq downstream processing analyses in GenePattern, such as clustering, classification, GSEA... - Use GenePattern to save workflows, ensure reproducibility and share methodologies with colleagues and reviewers - Use the GenePattern Notebook environment to create documents that interleave...

Scientific topics: RNA-Seq

Downstream processing of RNA-Seq data in GenePattern http://tess.elixir-uk.org/materials/downstream-processing-of-rna-seq-data-in-genepattern - Run RNA-seq downstream processing analyses in GenePattern, such as clustering, classification, GSEA... - Use GenePattern to save workflows, ensure reproducibility and share methodologies with colleagues and reviewers - Use the GenePattern Notebook environment to create documents that interleave formatted text, graphics and other multimedia, executable code, and GenePattern analyses, creating a single "research narrative" that puts scientific discussion and analyses in the same place Summary The workshop will cover the use of GenePattern for downstream processing of high-throughput mRNA sequencing (RNA-Seq) data produced by Illumina sequencing machines.  This workshop is intended for non-programming biologists. 1. Running Analyses in GenePattern 2. Clustering 3. Prediction and Clasification 4. Working with analysis workflows: GenePattern pipelines 5. Working with Samples and Features 6. The GenePattern Notebook environment 7. Related tools: IGV, GSEA 8. Open Q&A The data files, slides and exercises will be made available after the workshop.   RNA-Seq Life Science Researchers PhD students post-docs 2016-04-22 2017-10-09
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 - 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
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
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
RNA-Seq Analysis with Biocluster and R

Sequencing of RNA (RNA-Seq) is the latest method to assess global gene expression because it

Scientific topics: RNA-Seq

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

RNA-Seq Analysis with Biocluster and R http://tess.elixir-uk.org/materials/rna-seq-analysis-with-biocluster-and-r Sequencing of RNA (RNA-Seq) is the latest method to assess global gene expression because it RNA-Seq RNA-Seq, Alignment, Annotation, BAM, Differential-expression, Exploratory-analysis, Expression-estimation, FASTA, FASTQ, Feature-summarisation, Pre-processing, QC, Statistical-model
Material provided by Charlotte Soneson

This folder contains material provided by Charlotte Soneson. The following material is included:

Scientific topics: RNA-Seq

Keywords: RNA-Seq, Differential-expression, Statistical-model, Exploratory-analysis

Material provided by Charlotte Soneson http://tess.elixir-uk.org/materials/material-provided-by-charlotte-soneson This folder contains material provided by Charlotte Soneson. The following material is included: RNA-Seq RNA-Seq, Differential-expression, Statistical-model, Exploratory-analysis
Populus tremula shows no evidence of sexual dimorphism

**Background:** Although the majority of plant species are co-sexual, being either monoecious or hermaphroditic, a significant number are dioecious, having separate male and female individuals. Evolutionary theory suggests that males and females may develop sexually dimorphic phenotypic and...

Scientific topics: RNA-Seq

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

Populus tremula shows no evidence of sexual dimorphism http://tess.elixir-uk.org/materials/populus-tremula-shows-no-evidence-of-sexual-dimorphism **Background:** Although the majority of plant species are co-sexual, being either monoecious or hermaphroditic, a significant number are dioecious, having separate male and female individuals. Evolutionary theory suggests that males and females may develop sexually dimorphic phenotypic and biochemical traits concordant with each sex having different optimal strategies of resource investment to maximise reproductive success and fitness. The establishment of such sexual dimorphism would result in changes in gene expression patterns in non-floral organs. RNA-Seq FASTQ, GFF3, BAM, Populus-tremula, RNA-Seq, Pre-processing, QC, Alignment, Annotation, Expression-estimation, Differential-expression
Nicolas Delhomme - Bastian Schiffthaler - October 2014 EMBO course material

Material for the course held on EBI Campus, Welcome Trust Center, Hinxton, UK on 20-26th, October 2014. The material cover general RNA-Seq data pre-processing as described in these [guidelines](http://www.epigenesys.eu/en/protocols/bio-informatics/1283-guidelines-for-rna-seq-data-analysis) and...

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 - Bastian Schiffthaler - October 2014 EMBO course material http://tess.elixir-uk.org/materials/nicolas-delhomme-bastian-schiffthaler-october-2014-embo-course-material Material for the course held on EBI Campus, Welcome Trust Center, Hinxton, UK on 20-26th, October 2014. The material cover general RNA-Seq data pre-processing as described in these [guidelines](http://www.epigenesys.eu/en/protocols/bio-informatics/1283-guidelines-for-rna-seq-data-analysis) and reproduces the Differential Expression analysis conducted in Robinson, Delhomme et al., 2014. RNA-Seq FASTQ, GFF3, BAM, Populus-tremula, RNA-Seq, Pre-processing, QC, Alignment, Annotation, Expression-estimation, Differential-expression, R-programming
Differential expression analysis on the Robinson, Delhomme et al. dataset.

A differential expression analysis conducted on the **[Robinson, Delhomme et al., dataset](https://microasp.upsc.se/ngs_trainers/Materials/blob/master/Datasets/Robinson-Delhomme-Populus-tremula-shows-no-evidence-of-sexual-dimorphism.md)**. The dataset has 17 samples and 2 important meta-data: the...

Scientific topics: RNA-Seq

Keywords: RNA-Seq, Differential-expression, R-programming, Statistical-model

Differential expression analysis on the Robinson, Delhomme et al. dataset. http://tess.elixir-uk.org/materials/differential-expression-analysis-on-the-robinson-delhomme-et-al-dataset A differential expression analysis conducted on the **[Robinson, Delhomme et al., dataset](https://microasp.upsc.se/ngs_trainers/Materials/blob/master/Datasets/Robinson-Delhomme-Populus-tremula-shows-no-evidence-of-sexual-dimorphism.md)**. The dataset has 17 samples and 2 important meta-data: the sample sex and year of collection. The goal is to test whether genes are involved in different processes based on the sex of the tree; _i.e._ is there a sexual dimorphism in _Populus tremula_ trees. It has indeed been hypothesized that male tree should be taller so as to spread their pollen further, whereas female would be more resistant to pests and diseases. The existing literature is contradictory, however it resulted from studies where plants were grown in controlled environment. In the present dataset, plant samples were collected in the wild, at a 2 years interval. The latter is a very important factor in the analysis as the 'year effect' is a strong confounding factor that hides the 'sex effect'. The present tutorial, hence, introduces a differential-expression analysis, but goes further by adressing confounding factors and how to _block_ them in an analysis. It is a good dataset to remind trainees that they should always be critical towards the conclusion they draw from their data. RNA-Seq RNA-Seq, Differential-expression, R-programming, Statistical-model
RNA-seq module Frederik Coppens

All material concerning RNA-seq analysis

Scientific topics: RNA-Seq

Keywords: RNA-Seq, Alignment, BAM, FASTQ, Feature-summarisation, Pre-processing, QC

RNA-seq module Frederik Coppens http://tess.elixir-uk.org/materials/rna-seq-module-frederik-coppens All material concerning RNA-seq analysis RNA-Seq RNA-Seq, Alignment, BAM, FASTQ, Feature-summarisation, Pre-processing, QC