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52 materials found

Authors: Jared Simpson  or Eija Korpelainen  or Maria Victoria .  or Julie Sullivan  or Friederike Ehrhart  or nekrut  or Michael Love  or Egon Willighagen 


Adding ontology terms

This tutorial describes how terms can be added to the eNanoMapper ontology.

Keywords: enanomapper, ontologies

Resource type: Tutorial

Adding ontology terms https://tess.elixir-europe.org/materials/adding-ontology-terms-2d31ae63-7f7b-45df-aa37-4b1e14209183 This tutorial describes how terms can be added to the eNanoMapper ontology. enanomapper, ontologies post-docs
Groovy Cheminformatics with the Chemistry Development Kit

Book that describes the cheminformatics functionality of the Chemistry Development Kit taking advantage of the Groovy programming language.

Scientific topics: Chemistry, Cheminformatics

Resource type: Book

Groovy Cheminformatics with the Chemistry Development Kit https://tess.elixir-europe.org/materials/groovy-cheminformatics-with-the-chemistry-development-kit Book that describes the cheminformatics functionality of the Chemistry Development Kit taking advantage of the Groovy programming language. Chemistry Cheminformatics PhD candidates Master students Chemists Biologists
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
Adding nanomaterial data

This tutorial describes how nanomaterial data can be added to an eNanoMapper server using a RDF format.

Scientific topics: Database management, Toxicology

Keywords: nanotoxicology, enanomapper, resource description framework, ontology

Resource type: Tutorial

Adding nanomaterial data https://tess.elixir-europe.org/materials/adding-nanomaterial-data This tutorial describes how nanomaterial data can be added to an eNanoMapper server using a RDF format. Database management Toxicology nanotoxicology, enanomapper, resource description framework, ontology programmers data entering
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
Programming in the Life Sciences

This is a OER around a six day course on using JavaScript to program the life sciences web, but with a focus on the Open PHACTS API.

Scientific topics: Pharmacology, Drug discovery

Programming in the Life Sciences https://tess.elixir-europe.org/materials/programming-in-the-life-sciences This is a OER around a six day course on using JavaScript to program the life sciences web, but with a focus on the Open PHACTS API. Pharmacology Drug discovery 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
Informatics on High-Throughput Sequencing Data 2018 Module 6-De Novo Assmebly

Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data, where the focus is on Illumina reads although information is applicable to all sequencer reads.

Informatics on High-Throughput Sequencing Data 2018 Module 6-De Novo Assmebly https://tess.elixir-europe.org/materials/informatics-on-high-throughput-sequencing-data-2018-module-6-de-novo-assmebly Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data, where the focus is on Illumina reads although information is applicable to all sequencer reads. Researchers Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists Graduate students
Informatics on High-Throughput Sequencing Data 2018 Module 1-Introduction to High-Throughput Sequencing

Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data, where the focus is on Illumina reads although information is applicable to all sequencer reads.

Informatics on High-Throughput Sequencing Data 2018 Module 1-Introduction to High-Throughput Sequencing https://tess.elixir-europe.org/materials/informatics-on-high-throughput-sequencing-data-2018-module-1-introduction-to-high-throughput-sequencing Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data, where the focus is on Illumina reads although information is applicable to all sequencer reads. Researchers Graduate students Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists
Bioinformatics for Cancer Genomics 2018 Module 5-Genome Assembly

Course covers the key bioinformatics concepts and tools required to analyze cancer genomic data sets and access and work with data sets in the cloud.

Bioinformatics for Cancer Genomics 2018 Module 5-Genome Assembly https://tess.elixir-europe.org/materials/bioinformatics-for-cancer-genomics-2018-module-5-genome-assembly Course covers the key bioinformatics concepts and tools required to analyze cancer genomic data sets and access and work with data sets in the cloud. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
Bioinformatics for Cancer Genomics 2018 Module 4-Genome Alignment

Course covers the key bioinformatics concepts and tools required to analyze cancer genomic data sets and access and work with data sets in the cloud.

Bioinformatics for Cancer Genomics 2018 Module 4-Genome Alignment https://tess.elixir-europe.org/materials/bioinformatics-for-cancer-genomics-2018-module-4-genome-alignment Course covers the key bioinformatics concepts and tools required to analyze cancer genomic data sets and access and work with data sets in the cloud. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
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
#metawinterschool contribution by BiGCaT

Training material from the denBI-organized Metabolomics Winterschool 2018, discussing identifier mapping and pathway analysis.

Scientific topics: Metabolomics

Keywords: Metabolomics, Identifiers

Resource type: Tutorial

#metawinterschool contribution by BiGCaT https://tess.elixir-europe.org/materials/metawinterschool-contribution-by-bigcat Training material from the denBI-organized Metabolomics Winterschool 2018, discussing identifier mapping and pathway analysis. Metabolomics Metabolomics, Identifiers Biologists
BridgeDbR Tutorial

Bioconductor Vignette on how to use BridgeDb in the R environment for identifier mapping for genes, proteins, and metabolites.

Resource type: Tutorial, Vignette

BridgeDbR Tutorial https://tess.elixir-europe.org/materials/bridgedbr-tutorial Bioconductor Vignette on how to use BridgeDb in the R environment for identifier mapping for genes, proteins, and metabolites. Biologists Chemists
Bioinformatics for Cancer Genomics 2017 Module 3-Genome Alignment and Assembly

Course covers the bioinformatics tools required to analyze genomic data sets.

Bioinformatics for Cancer Genomics 2017 Module 3-Genome Alignment and Assembly https://tess.elixir-europe.org/materials/bioinformatics-for-cancer-genomics-2017-module-3-genome-alignment-and-assembly Course covers the bioinformatics tools required to analyze genomic data sets. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
Informatics on High-Throughput Sequencing Data 2017 Module 6-De Novo Assembly

Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data with a focus on Illumina reads.

Informatics on High-Throughput Sequencing Data 2017 Module 6-De Novo Assembly https://tess.elixir-europe.org/materials/informatics-on-high-throughput-sequencing-data-2017-module-6-de-novo-assembly Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data with a focus on Illumina reads. Researchers Graduate Students Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists
Informatics on High-Throughput Sequencing Data 2017 Module 1-Introduction to High-Throughput Sequencing

Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data with a focus on Illumina reads.

Informatics on High-Throughput Sequencing Data 2017 Module 1-Introduction to High-Throughput Sequencing https://tess.elixir-europe.org/materials/informatics-on-high-throughput-sequencing-data-module-1-introduction-to-high-throughput-sequencing Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data with a focus on Illumina reads. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
High-Throughput Biology 2017 Module 6-De Novo Assembly

Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome.

High-Throughput Biology 2017 Module 6-De Novo Assembly https://tess.elixir-europe.org/materials/high-throughput-biology-2017-module-6-de-novo-assembly Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
High-Throughput Biology 2017 Module 1-Introduction to High-Throughput Sequencing

Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome.

High-Throughput Biology 2017 Module 1-Introduction to High-Throughput Sequencing https://tess.elixir-europe.org/materials/high-throughput-biology-2017-module-1-introduction-to-high-throughput-sequencing Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome. Graduate students Post-Doctoral Fellows Researchers Biologists, Genomicists, Computer Scientists
Data Manipulation - Collections: Multisample Analysis

A collection of microtutorials explaining data manipulation within Galaxy

Resource type: Tutorial

Data Manipulation - Collections: Multisample Analysis https://tess.elixir-europe.org/materials/data-manipulation-collections-multisample-analysis A collection of microtutorials explaining data manipulation within Galaxy