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
https://saezlab.github.io/transcriptutorial/
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
Bartosz Bartmanski
RNA-Seq
Omics
Gene expression
Molecular interactions, pathways and networks
HPC, Signaling, RNAseq, transcriptomics
WEBINAR: Making sense of phosphoproteomics data with Phosphomatics
This Zenodo record includes training materials associated with the Australian BioCommons webinar ‘Making sense of phosphoproteomics data with Phosphomatics’. This webinar took place on 2 June 2021.
Scientific topics: Protein modifications, Proteomics
Keywords: Phosphoproteomics
WEBINAR: Making sense of phosphoproteomics data with Phosphomatics
https://zenodo.org/record/5126083#.YQN_slMzY3Q
http://tess.elixir-uk.org/materials/webinar-making-sense-of-phosphoproteomics-data-with-phosphomatics
This Zenodo record includes training materials associated with the Australian BioCommons webinar ‘Making sense of phosphoproteomics data with Phosphomatics’. This webinar took place on 2 June 2021.
Protein modifications
Proteomics
Phosphoproteomics
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
https://stemangiola.github.io/bioc_2020_tidytranscriptomics/
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.
Maria Doyle
Stefano Mangiola
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://incob2019.org/workshop1/
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
https://uclouvain-cbio.github.io/BSS2019/#schedule
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
https://www.csc.fi/web/training/-/scrnaseq
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
https://bioconductor.org/help/workflows/rnaseqGene/
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.
Michael Love et al.
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
https://www.csc.fi/en/web/training/-/single-cell-rnaseq-r-2018
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.
Heli Pessa
Bishwa Ghimire
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
https://chipster.csc.fi/manual/courses.html#single-cell
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
Maria Lehtivaara
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
https://chipster.csc.fi/manual/courses.html#virusdetect
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
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
https://chipster.csc.fi/manual/courses.html#rna
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
Maria Lehtivaara
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://www.bioinformatics.babraham.ac.uk/training.html#rnaseq
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.
Simon Andrews
RNA-Seq