Rare Disease Pathway and Network Analysis
The European Joint Project on Rare Diseases (EJP-RD) and the Helis Academy organized a workshop with training for pathway and network analysis.
Keywords: Pathway analysis, Biological networks, Network analysis, Pathways
Resource type: Tutorial
Rare Disease Pathway and Network Analysis
https://laurendupuis.github.io/EJP-RD_Helis_Academy/
https://tess.elixir-europe.org/materials/rare-disease-pathway-and-network-analysis
The European Joint Project on Rare Diseases (EJP-RD) and the Helis Academy organized a workshop with training for pathway and network analysis.
Lauren Dupuis
Martina Kutmon
Friederike Ehrhart
Denise Slenter
Pathway analysis, Biological networks, Network analysis, Pathways
Life Science Researchers
InterMine user tutorial
A tutorial for end users of InterMine
Keywords: Data querying, Data analysis, Data download, FAIR
Resource type: Tutorial
InterMine user tutorial
https://figshare.com/articles/InterMine_training_slides/4737313
https://tess.elixir-europe.org/materials/intermine-user-tutorial
A tutorial for end users of InterMine
Rachel Lyne
Yo Yehudi
Julie Sullivan
Data querying, Data analysis, Data download, FAIR
Life Science Researchers
Bioinformaticians
InterMine user manual
Documentation for end users on how to search for data, run simple and complex queries, analyse results and download data from any instance of InterMine.
Keywords: Data querying, data visualization, Data download, FAIR
Resource type: Documentation
InterMine user manual
http://flymine.readthedocs.io/en/latest
https://tess.elixir-europe.org/materials/intermine-user-manual
Documentation for end users on how to search for data, run simple and complex queries, analyse results and download data from any instance of InterMine.
Rachel Lyne
Julie Sullivan
Gos Micklem
Sergio Contrino
Yo Yehudi
Daniela Butano
Justin Clark-Casey
Data querying, data visualization, Data download, FAIR
Life Science Researchers
Bioinformaticians
RNA-seq data analysis: from raw reads to differentially expressed genes
This course material introduces the central concepts, analysis steps and file formats in RNA-seq data analysis. It covers the analysis from quality control to differential expression detection, and workflow construction and several data visualizations are also practised. The material consists of...
Scientific topics: Sequencing, RNA, Data architecture, analysis and design, Bioinformatics
Keywords: Bioinformatics, Differential expression, Ngs, Rna seq
RNA-seq data analysis: from raw reads to differentially expressed genes
https://www.mygoblet.org/training-portal/materials/rna-seq-data-analysis-raw-reads-differentially-expressed-genes
https://tess.elixir-europe.org/materials/rna-seq-data-analysis-from-raw-reads-to-differentially-expressed-genes
This course material introduces the central concepts, analysis steps and file formats in RNA-seq data analysis. It covers the analysis from quality control to differential expression detection, and workflow construction and several data visualizations are also practised. The material consists of 10-30 minute lectures intertwined with hands-on exercises, and it can be accomplished in a day. As the user-friendly Chipster software is used in the exercises, no prior knowledge of R/Bioconductor or Unix ir required, and the course is thus suitable for everybody. Our book RNA-seq data analysis: A practical approach (CRC Press) can be used as background reading.
The following topics and analysis tools are covered:
1. Introduction to the Chipster analysis platform
2. Quality control of raw reads (FastQC, PRINSEQ)
3. Preprocessing (Trimmomatic, PRINSEQ)
4. Alignment to reference genome (TopHat2)
5. Alignment level quality control (RseQC)
6. Quantitation (HTSeq)
7. Experiment level quality control with PCA and MDS plots
8. Differential expression analysis (DESeq2, edgeR)
-normalization
-dispersion estimation
-statistical testing
-controlling for batch effects, multifactor designs
-filtering
-multiple testing correction
9. Visualization of reads and results
-genome browser
-Venn diagram
-volcano plot
-plotting normalized counts for a gene
-expression profiles
10. Experimental design
Eija Korpelainen
Sequencing
RNA
Data architecture, analysis and design
Bioinformatics
Bioinformatics, Differential expression, Ngs, Rna seq
Bench biologists
Life Science Researchers
2015-12-04
2017-10-09