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Authors: Eija Korpelainen  or Maria Victoria .  or Julie Sullivan  or Friederike Ehrhart  or Michael Love  or Allegra Via 

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://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. Pathway analysis, Biological networks, Network analysis, Pathways Life Science Researchers
Single cell RNA-seq data analysis using Chipster

This course introduces single cell RNA-seq data analysis. It covers the processing of transcript counts from quality control and filtering to dimensional reduction, clustering, and differential expression analysis. You will also learn how to do integrated analysis of two samples. We use Seurat v3...

Keywords: scRNA-seq

Resource type: Slides, Training materials

Single cell RNA-seq data analysis using Chipster https://tess.elixir-europe.org/materials/single-cell-rna-seq-data-analysis-using-chipster This course introduces single cell RNA-seq data analysis. It covers the processing of transcript counts from quality control and filtering to dimensional reduction, clustering, and differential expression analysis. You will also learn how to do integrated analysis of two samples. We use Seurat v3 tools embedded in the user-friendly Chipster software. scRNA-seq Biologists bioinformaticians
How to use the statistics module of ArrayAnalysis.org for statistics analysis of microarray data

This tutorial how to statistically analyze microarray data with ArrayAnalysis.org website.

Keywords: ArrayAnalysis.org, microarray

How to use the statistics module of ArrayAnalysis.org for statistics analysis of microarray data https://tess.elixir-europe.org/materials/how-to-use-the-statistics-module-of-arrayanalysis-org-for-statistics-analysis-of-microarray-data This tutorial how to statistically analyze microarray data with ArrayAnalysis.org website. ArrayAnalysis.org, microarray post-docs
Analysis of RNA-Seq using the DESeq2 package

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

Analysis of RNA-Seq using the DESeq2 package https://tess.elixir-europe.org/materials/analysis-of-rna-seq-using-the-deseq2-package 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
Lecture: RNA-Seq data analysis and differential expression part II

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

Lecture: RNA-Seq data analysis and differential expression part II https://tess.elixir-europe.org/materials/lecture-rna-seq-data-analysis-and-differential-expression-part-ii 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
Low-level exploratory data analysis and methods development for RNA-seq

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

Low-level exploratory data analysis and methods development for RNA-seq https://tess.elixir-europe.org/materials/low-level-exploratory-data-analysis-and-methods-development-for-rna-seq 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
Gene-sets and correlation

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...

Operations: Gene-set enrichment analysis

Gene-sets and correlation https://tess.elixir-europe.org/materials/gene-sets-and-correlation 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.
Robust statistics

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: Statistics and probability

Robust statistics https://tess.elixir-europe.org/materials/robust-statistics 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. Statistics and probability
RNA-seq data 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...

Keywords: RNAseq

RNA-seq data analysis and differential expression https://tess.elixir-europe.org/materials/rna-seq-data-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. RNAseq
ELIXIR eLearning definitions

Materials from the asynchronous learning course "ELIXIR eLearning definitions"

Keywords: eLearning, training, EeLP

Resource type: course materials, Training materials, Documentation

ELIXIR eLearning definitions https://tess.elixir-europe.org/materials/elixir-elearning-definitions Materials from the asynchronous learning course "ELIXIR eLearning definitions" Brane Leskosek Jure Dimec Eija Korpelainen Teresa Attwood Sarah Morgan Nicola Mulder Celia van Gelder Patricia Palagi eLearning, training, EeLP Researchers teachers Trainers
RNA-seq data analysis using Chipster

Materials from the ELIXIR tutorial “RNA-seq data analysis using Chipster”, Jan 31, 2017

Scientific topics: Transcriptomics, Genomics

Keywords: transcriptomics, RNA-Seq, eLearning, EeLP

Resource type: course materials, Training materials, Slides, Video

RNA-seq data analysis using Chipster https://tess.elixir-europe.org/materials/rna-seq-data-analysis-using-chipster Materials from the ELIXIR tutorial “RNA-seq data analysis using Chipster”, Jan 31, 2017 Eija Korpelainen Maria Lehtivaara Transcriptomics Genomics transcriptomics, RNA-Seq, eLearning, EeLP Researchers
ELIXIR EXCELERATE Train the Trainer

This set of course material was designed in the context of the ELIXIR EXCELERATE Train the Trainer programme. It covers four sessions: * Learning principles and how they apply to training and teaching * Teaching techniques that can be used to enhance learner engagement and participation *...

Keywords: Train the trainer, Pedagogy, Course development, Course design

Resource type: Training materials

ELIXIR EXCELERATE Train the Trainer https://tess.elixir-europe.org/materials/elixir-excelerate-train-the-trainer This set of course material was designed in the context of the ELIXIR EXCELERATE Train the Trainer programme. It covers four sessions: * Learning principles and how they apply to training and teaching * Teaching techniques that can be used to enhance learner engagement and participation * Lesson, course, and materials design * Assessment and feedback in training and teaching Train the trainer, Pedagogy, Course development, Course design Trainers Training instructors Training Designers teachers
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://tess.elixir-europe.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
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://tess.elixir-europe.org/materials/intermine-user-tutorial A tutorial for end users of InterMine 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 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. Data querying, data visualization, Data download, FAIR Life Science Researchers Bioinformaticians
InterMine operator manual

Documentation on how to install, configure and operate an InterMine instance.

Keywords: Data integration, Data analysis, Data publishing, FAIR

Resource type: Documentation

InterMine operator manual https://tess.elixir-europe.org/materials/intermine-operator-manual Documentation on how to install, configure and operate an InterMine instance. Data integration, Data analysis, Data publishing, FAIR Bioinformaticians software engineers
How to install and load the Identifier Mapping Service with data needed for gene-to-variant and variant-to-gene

Tutorial describing how a BridgeDb Identifier Mapping Database (IMS) service can be started and used for gene-variant mapping.

Scientific topics: Genetic variation, Genomics

Resource type: Tutorial

How to install and load the Identifier Mapping Service with data needed for gene-to-variant and variant-to-gene https://tess.elixir-europe.org/materials/how-to-install-and-load-the-identifier-mapping-service-with-data-needed-for-gene-to-variant-and-variant-to-gene Tutorial describing how a BridgeDb Identifier Mapping Database (IMS) service can be started and used for gene-variant mapping. Genetic variation Genomics Biologists
Browsing the eNanoMapper ontology with BioPortal, AberOWL and Protégé

This tutorial explains how the eNanoMapper ontology can be browsed with three tools, of which two are online.

Keywords: nanotoxicology, Ontologies, BioPortal, AberOWL, Protégé

Resource type: Tutorial

Browsing the eNanoMapper ontology with BioPortal, AberOWL and Protégé https://tess.elixir-europe.org/materials/browsing-the-enanomapper-ontology-with-bioportal-aberowl-and-protege This tutorial explains how the eNanoMapper ontology can be browsed with three tools, of which two are online. nanotoxicology, Ontologies, BioPortal, AberOWL, Protégé PhD students post-docs
Community analysis of amplicon sequencing data (16S rRNA)

This course introduces community analysis of amplicon sequencing data (16S rRNA). It covers preprocessing, taxonomic classification, and statistical analysis for marker gene studies. The user-friendly Chipster software is used in the exercises, so no Unix or R experience is required and the...

Resource type: course materials, Video

Community analysis of amplicon sequencing data (16S rRNA) https://tess.elixir-europe.org/materials/community-analysis-of-amplicon-sequencing-data-16s-rrna This course introduces community analysis of amplicon sequencing data (16S rRNA). It covers preprocessing, taxonomic classification, and statistical analysis for marker gene studies. 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.
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://tess.elixir-europe.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 https://tess.elixir-europe.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
Metagenomics data analysis

This course covers metagenomics analysis from quality control, filtering and assembly to taxonomic classification, functional assignment and comparative metagenomics. In addition to covering the analysis of whole genome shotgun sequencing data, the course has also module on community analysis of...

Scientific topics: Metagenomics

Resource type: Video, course materials

Metagenomics data analysis https://tess.elixir-europe.org/materials/metagenomics-data-analysis This course covers metagenomics analysis from quality control, filtering and assembly to taxonomic classification, functional assignment and comparative metagenomics. In addition to covering the analysis of whole genome shotgun sequencing data, the course has also module on community analysis of amplicon sequencing data (16S rRNA). Finally, international databases and standards for storing the data are introduced. The course material includes slides, exercises and lecture videos. The workshop is organized in collaboration with the ELIXIR EXCELERATE project and PRACE, and it is part of the PRACE Advanced Training Centre activity. Eija Korpelainen Metagenomics
Python

Complete course materials from the 2015 Python course.

Keywords: Earlham Institute

Python https://tess.elixir-europe.org/materials/python Complete course materials from the 2015 Python course. Earlham Institute
Python for Life Scientists 2013

Complete course materials from the 2013 Python course.

Keywords: Python, Earlham Institute

Python for Life Scientists 2013 https://tess.elixir-europe.org/materials/python-for-life-scientists-2013 Complete course materials from the 2013 Python course. Python, Earlham Institute
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://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 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