Register training material
11 materials found

Scientific topics: Molecular interactions, pat...  or ChIP-seq 


ChIP-seq Analysis

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: ChIP-seq

ChIP-seq Analysis https://tess.elixir-europe.org/materials/chip-seq-analysis-a09e63fd-d145-4eb1-af5b-30127d21f15e 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. ChIP-seq
Visualisation and assessment of ChIP-seq quality using ChIPQC and Diffbind packages

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: ChIP-seq

Visualisation and assessment of ChIP-seq quality using ChIPQC and Diffbind packages https://tess.elixir-europe.org/materials/visualisation-and-assessment-of-chip-seq-quality-using-chipqc-and-diffbind-packages 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. ChIP-seq
ChIP-seq with csaw

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: ChIP-seq

ChIP-seq with csaw https://tess.elixir-europe.org/materials/chip-seq-with-csaw 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. ChIP-seq
Lecture: Epigenetics and ChIP-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: ChIP-seq

Lecture: Epigenetics and ChIP-Seq https://tess.elixir-europe.org/materials/lecture-epigenetics-and-chip-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. ChIP-seq
ChIP-Seq for Understanding Gene Regulation

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: ChIP-seq

ChIP-Seq for Understanding Gene Regulation https://tess.elixir-europe.org/materials/chip-seq-for-understanding-gene-regulation 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. ChIP-seq
STRING exercises

Hands-on exercises using the STRING, STITCH, and DISEASES databases through their respective web interfaces.

Scientific topics: Protein interactions, Molecular interactions, pathways and networks, Bioinformatics

STRING exercises https://tess.elixir-europe.org/materials/string-exercises Hands-on exercises using the STRING, STITCH, and DISEASES databases through their respective web interfaces. Protein interactions Molecular interactions, pathways and networks Bioinformatics Bioinformaticians Biologists
Cytoscape stringApp exercises

Hands-on exercises using the stringApp for Cytoscape to retrieve molecular networks from the STRING and STITCH databases.

Scientific topics: Data visualisation, Proteomics, Protein interactions, Molecular interactions, pathways and networks, Bioinformatics

Cytoscape stringApp exercises https://tess.elixir-europe.org/materials/cytoscape-stringapp-exercises Hands-on exercises using the stringApp for Cytoscape to retrieve molecular networks from the STRING and STITCH databases. John "Scooter" Morris Data visualisation Proteomics Protein interactions Molecular interactions, pathways and networks Bioinformatics Bioinformaticians Biologists
Introduction to ChIP-Seq Using Galaxy: Analysing protein interactions with DNA

ChIP-sequencing, also known as ChIP-Seq, is a powerful technique for investigating protein interactions with DNA. This course will take you through an example ChIP-Seq analysis pipeline, following a published methodology to show how we can understand and reproduce these published results.

Scientific topics: ChIP-seq

Keywords: Roslin Institute

Introduction to ChIP-Seq Using Galaxy: Analysing protein interactions with DNA https://tess.elixir-europe.org/materials/introduction-to-chip-seq-using-galaxy-analysing-protein-interactions-with-dna ChIP-sequencing, also known as ChIP-Seq, is a powerful technique for investigating protein interactions with DNA. This course will take you through an example ChIP-Seq analysis pipeline, following a published methodology to show how we can understand and reproduce these published results. ChIP-seq Roslin Institute Any student, postdoc or RA who has an interest in bioinformatics and who intends to conduct ChIP-Seq analysis on a Galaxy platform.
Hands-on introduction to ChIP-Seq analysis

This training gives an introduction to ChIP-seq data analysis, covering the processing steps starting from the reads to the peaks. Among all possible downstream analyses, the practical aspect will focus on motif analyses. A particular emphasis will be put on deciding which downstream analyses to...

Scientific topics: Mapping, ChIP-seq

Hands-on introduction to ChIP-Seq analysis https://tess.elixir-europe.org/materials/hands-on-introduction-to-chip-seq-analysis This training gives an introduction to ChIP-seq data analysis, covering the processing steps starting from the reads to the peaks. Among all possible downstream analyses, the practical aspect will focus on motif analyses. A particular emphasis will be put on deciding which downstream analyses to perform depending on the biological question. This training does not cover all methods available today. It does not aim at bringing users to a professional NGS analyst level but provides enough information to allow biologists understand what DNA sequencing practically is and to communicate with NGS experts for more in-depth needs. Mapping ChIP-seq Life Science Researchers PhD students beginner bioinformaticians post-docs 2016-04-22 2017-10-09
Pathways to networks – from in vivo to in silico and backwards

Complete course materials from the 2014 pathways to networks course.

Scientific topics: Molecular interactions, pathways and networks

Keywords: Earlham Institute

Pathways to networks – from in vivo to in silico and backwards https://tess.elixir-europe.org/materials/pathways-to-networks-from-in-vivo-to-in-silico-and-backwards Complete course materials from the 2014 pathways to networks course. Molecular interactions, pathways and networks Earlham Institute
EMBO 2015

Link to the GitHub repository containing all the training materials made available for the 2015 EMBO event held at TGAC

Scientific topics: Protein binding sites, Molecular interactions, pathways and networks

Keywords: Bioinformatics, Multiple sequence alignment, Network visualization, Protein protein interaction networks

EMBO 2015 https://tess.elixir-europe.org/materials/embo-2015 Link to the GitHub repository containing all the training materials made available for the 2015 EMBO event held at TGAC Protein binding sites Molecular interactions, pathways and networks Bioinformatics, Multiple sequence alignment, Network visualization, Protein protein interaction networks PhD students post-docs 2015-10-08 2017-10-09