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Keywords: Genomics 

CPANG19 - Computational PANGenomics (2019)

Training Material aimed in the exploration of modern bioinformatic tools that allow researchers to use pangenomes as their reference system when engaging in studies of organisms of all types.

Keywords: Genomics

Resource type: Documentation, Exercise, Handout, Scripts

CPANG19 - Computational PANGenomics (2019) http://tess.elixir-uk.org/materials/cpang19-computational-pangenomics-2019 Training Material aimed in the exploration of modern bioinformatic tools that allow researchers to use pangenomes as their reference system when engaging in studies of organisms of all types. Erik Garrison Mikko Rautiainen Genomics Academia/ Research Institution Industry Non-Profit Organisation Healthcare
ADER19F - Analysis of Differential Expression with RNAseq (First course in 2019)

Training material for an introductory course that covers practical aspects of the analysis of differential gene expression by RNAseq.

Keywords: RNA-Seq, Genomics, RNA

Resource type: Documentation, Exercise, Handout, Scripts

ADER19F - Analysis of Differential Expression with RNAseq (First course in 2019) http://tess.elixir-uk.org/materials/ader19f-analysis-of-differential-expression-with-rnaseq-first-course-in-2019 Training material for an introductory course that covers practical aspects of the analysis of differential gene expression by RNAseq. Daniel Sobral Daniel Faria Daniel Neves RNA-Seq, Genomics, RNA Academia/ Research Institution Industry Non-Profit Organisation Healthcare
ADER18S - Analysis of Differential Expression with RNAseq (Second course in 2018)

Training material for introductory course that covers practical aspects of the analysis of differential gene expression by RNAseq.

Keywords: RNA-Seq, Genomics, RNA

Resource type: Documentation, Exercise, Handout, Scripts

ADER18S - Analysis of Differential Expression with RNAseq (Second course in 2018) http://tess.elixir-uk.org/materials/ader18s-analysis-of-differential-expression-with-rnaseq-second-course-in-2018 Training material for introductory course that covers practical aspects of the analysis of differential gene expression by RNAseq. Daniel Sobral Daniel Faria Daniel Neves RNA-Seq, Genomics, RNA Academia/ Research Institution Industry Non-Profit Organisation Healthcare
CPANG18 - Computational PANGenomics (2018)

Training Material aimed in the exploration of modern bioinformatic tools that allow researchers to use pangenomes as their reference system when engaging in studies of organisms of all types.

Keywords: Genomics

Resource type: Documentation, Exercise, Handout, Scripts

CPANG18 - Computational PANGenomics (2018) http://tess.elixir-uk.org/materials/cpang18-computational-pangenomics-2018 Training Material aimed in the exploration of modern bioinformatic tools that allow researchers to use pangenomes as their reference system when engaging in studies of organisms of all types. Erik Garrison Mikko Rautiainen Jordan Eizenga Genomics Academia/ Research Institution Industry Non-Profit Organisation
ADER18F - Analysis of Differential Expression with RNAseq (First course in 2018)

Training material for an introductory course that covers practical aspects of the analysis of differential gene expression by RNAseq.

Keywords: RNA-Seq, Genomics, RNA

Resource type: Documentation, Exercise, Handout, Scripts

ADER18F - Analysis of Differential Expression with RNAseq (First course in 2018) http://tess.elixir-uk.org/materials/ader18f-analysis-of-differential-expression-with-rnaseq-first-course-in-2018 Training material for an introductory course that covers practical aspects of the analysis of differential gene expression by RNAseq. Daniel Sobral Daniel Faria Daniel Neves RNA-Seq, Genomics, RNA Academia/ Research Institution Industry Non-Profit Organisation Healthcare
PanelApp Reviewer’s Guide

This presentation provides a guide to how to make reviews of gene-disease evidence in the PanelApp database.

Scientific topics: Rare diseases, Genomics

Keywords: Gene lists, Genomics, human disease, Biocuration

Resource type: knowledgebase

PanelApp Reviewer’s Guide http://tess.elixir-uk.org/materials/panelapp-reviewer-s-guide This presentation provides a guide to how to make reviews of gene-disease evidence in the PanelApp database. Rare diseases Genomics Gene lists, Genomics, human disease, Biocuration Clinical Scientists clinicians and informaticians interested in cancer genetics Researchers
ELIXIR TtR course: Basic genomics using advanced analysis tools

Materials from the ELIXIR workshop “ELIXIR TtR course: Basic genomics using advanced analysis tools”, Nov 5-6 2018 at the University of Ljubljana, Faculty of Medicine, Ljubljana, Slovenia

Scientific topics: Genomics

Keywords: Galaxy, training, Genomics, eLearning, EeLP

Resource type: course materials, Training materials, Slides

ELIXIR TtR course: Basic genomics using advanced analysis tools http://tess.elixir-uk.org/materials/elixir-ttr-course-basic-genomics-using-advanced-analysis-tools Materials from the ELIXIR workshop “ELIXIR TtR course: Basic genomics using advanced analysis tools”, Nov 5-6 2018 at the University of Ljubljana, Faculty of Medicine, Ljubljana, Slovenia Christophe Antoniewski Olivier Inizan Genomics Galaxy, training, Genomics, eLearning, EeLP life scientists beginner bioinformaticians Postgraduate students
Galaxy: Initiation II

Galaxy II: common tools, quality control; alignment; data managment

Keywords: Genomics

Galaxy: Initiation II http://tess.elixir-uk.org/materials/galaxy-initiation-ii Galaxy II: common tools, quality control; alignment; data managment Genomics
Differential analysis of RNA-Seq data

Design, describe, explore and model

Keywords: Genomics, RNA-seq

Differential analysis of RNA-Seq data http://tess.elixir-uk.org/materials/differential-analysis-of-rna-seq-data Design, describe, explore and model Genomics, RNA-seq
DNA-seq analysis: From raw reads to processed alignments

Objectives: Mapping the DNA-seq data to the reference genome Process the alignments for the variant calling

Keywords: Alignment, DNA-seq, Genomics, Variant calling

DNA-seq analysis: From raw reads to processed alignments http://tess.elixir-uk.org/materials/dna-seq-analysis-from-raw-reads-to-processed-alignments Objectives: Mapping the DNA-seq data to the reference genome Process the alignments for the variant calling Alignment, DNA-seq, Genomics, Variant calling
Variants: alignment and pre-treatment; GATK

Variant calling practical session

Keywords: Genomics

Variants: alignment and pre-treatment; GATK http://tess.elixir-uk.org/materials/variants-alignment-and-pre-treatment-gatk-d2d0443e-60d2-48f0-bbec-53b94eb5b003 Variant calling practical session Genomics
Third generation sequencing : the revolution of long reads

Introduction on sequencing: available technologies, library types, applications ...

Keywords: Genomics

Third generation sequencing : the revolution of long reads http://tess.elixir-uk.org/materials/third-generation-sequencing-the-revolution-of-long-reads Introduction on sequencing: available technologies, library types, applications ... Genomics
Exploring Microscope Platform

How to use the Microscope Platform to annotate and analyze microbial genomes.

Keywords: Annotation, Genomics, Metabolomics, Microbial evolution, Sequence analysis, Transcriptomics

Exploring Microscope Platform http://tess.elixir-uk.org/materials/exploring-microscope-platform How to use the Microscope Platform to annotate and analyze microbial genomes. Annotation, Genomics, Metabolomics, Microbial evolution, Sequence analysis, Transcriptomics
Variant Filtering

Some use cases : - Extract a subset of variants (localization, type) - Combine variants from several analyses - Compare obtained variants from several data types (RNA ...

Keywords: Genomics

Variant Filtering http://tess.elixir-uk.org/materials/variant-filtering Some use cases : - Extract a subset of variants (localization, type) - Combine variants from several analyses - Compare obtained variants from several data types (RNA ... Genomics
REPET: TEdenovo tutorial

The TEdenovo pipeline follows a philosophy in three first steps: Detection of repeated sequences (potential TE) Clustering of these sequences Generation of consensus sequences for each cluster, representing the ancestral TE

Keywords: Annotation, Genomics

REPET: TEdenovo tutorial http://tess.elixir-uk.org/materials/repet-tedenovo-tutorial The TEdenovo pipeline follows a philosophy in three first steps: Detection of repeated sequences (potential TE) Clustering of these sequences Generation of consensus sequences for each cluster, representing the ancestral TE Annotation, Genomics
NGS data exploration with the MicroScope Platform

Exploring data annotation on the genomics and transcriptomics levels with the MicroScope Platform and its tools

Keywords: Genomics, NGS, RNA-seq, SNP, Transcriptomics

NGS data exploration with the MicroScope Platform http://tess.elixir-uk.org/materials/ngs-data-exploration-with-the-microscope-platform Exploring data annotation on the genomics and transcriptomics levels with the MicroScope Platform and its tools Genomics, NGS, RNA-seq, SNP, Transcriptomics
Variants: alignment and pre-treatment; GATK

Variant calling practical session

Keywords: Genomics

Variants: alignment and pre-treatment; GATK http://tess.elixir-uk.org/materials/variants-alignment-and-pre-treatment-gatk Variant calling practical session Genomics
RGP finder: prediction of Genomic Islands

Prediction of Region of Genomic Plasticity (RGPs) and CoDing Sequences (CDSs) and visualization

Keywords: CDS, Data visualization, Genomics, RGP

RGP finder: prediction of Genomic Islands http://tess.elixir-uk.org/materials/rgp-finder-prediction-of-genomic-islands Prediction of Region of Genomic Plasticity (RGPs) and CoDing Sequences (CDSs) and visualization CDS, Data visualization, Genomics, RGP
PASTEClassifier Tutorial

The PASTEClassifier (Pseudo Agent System for Transposable Elements Classification) is a transposable element (TE) classifier searching for structural features and similarity to classify TEs ( Hoede C. et al. 2014 )

Keywords: Genomics, Transposons

PASTEClassifier Tutorial http://tess.elixir-uk.org/materials/pasteclassifier-tutorial The PASTEClassifier (Pseudo Agent System for Transposable Elements Classification) is a transposable element (TE) classifier searching for structural features and similarity to classify TEs ( Hoede C. et al. 2014 ) Genomics, Transposons
Chip-seq Analysis

Quality, normalisation and peak calling

Keywords: Chip-seq, Genomics

Chip-seq Analysis http://tess.elixir-uk.org/materials/chip-seq-analysis Quality, normalisation and peak calling Chip-seq, Genomics
Exploring microbiomes with the MicroScope Platform

This module is separated in different courses: MicroScope: General overview, Keyword search and gene cart functionalities Functional annotation of microbial genomes Functional annotation of microbial genomes: Prediction of enzymatic functions Relational...

Keywords: Annotation, Genomics, Metabolomics, Microbial evolution, Transcriptomics

Exploring microbiomes with the MicroScope Platform http://tess.elixir-uk.org/materials/exploring-microbiomes-with-the-microscope-platform This module is separated in different courses: MicroScope: General overview, Keyword search and gene cart functionalities Functional annotation of microbial genomes Functional annotation of microbial genomes: Prediction of enzymatic functions Relational annotation of bacterial genomes: synteny Automatic functional assignation and expert annotation of genes Relational annotation of bacterial genomes: phylogenetic profiles Relational annotation of bacterial genomes: pan-genome analysis Relational annotation of bacterial genomes: metabolic pathways Syntactic re-annotation of public microbial genomes Syntactic annotation of microbial genomes Annotation, Genomics, Metabolomics, Microbial evolution, Transcriptomics
REPET: TEdannot Tutorial

TEannot is able to annote a genome using DNA sequences library. This library can be a predicted TE library built by TEdenovo

Keywords: Annotation, Genomics

REPET: TEdannot Tutorial http://tess.elixir-uk.org/materials/repet-tedannot-tutorial TEannot is able to annote a genome using DNA sequences library. This library can be a predicted TE library built by TEdenovo Annotation, Genomics
Visualization of NGS data with IGV

Visualisation of next-gen sequencing data with Integrative Genomics Viewer

Keywords: Data visualization, Genomics, NGS

Visualization of NGS data with IGV http://tess.elixir-uk.org/materials/visualization-of-ngs-data-with-igv Visualisation of next-gen sequencing data with Integrative Genomics Viewer Data visualization, Genomics, NGS
Differential gene expression analysis : Practical part

RNA-seq: Differential gene expression analysis practical session

Keywords: Genomics, RNA-seq

Differential gene expression analysis : Practical part http://tess.elixir-uk.org/materials/differential-gene-expression-analysis-practical-part RNA-seq: Differential gene expression analysis practical session Genomics, RNA-seq
RNA-seq: Differential gene expression analysis

Transcriptome analysis provides information about the identity and quantity of all RNA molecules

Keywords: Genomics, RNA-seq

RNA-seq: Differential gene expression analysis http://tess.elixir-uk.org/materials/rna-seq-differential-gene-expression-analysis Transcriptome analysis provides information about the identity and quantity of all RNA molecules Genomics, RNA-seq
Galaxy III: Visualization

Visualization of Next Generation Sequencing Data using the Integrative Genomics Viewer (IGV)

Keywords: Genomics

Galaxy III: Visualization http://tess.elixir-uk.org/materials/galaxy-iii-visualization Visualization of Next Generation Sequencing Data using the Integrative Genomics Viewer (IGV) Genomics
Bioinformatics Introductory Module

This Bioinformatics Introductory Module for self-study was designed for future students of the  Molecular Mechanisms of Disease (MMD) master’s program at Radboud University Medical Centre. To level out the starting differences in bioinformatics knowledge between this incoming heterogeneous group...

Keywords: Bioinformatics, Genome browsing, Genomics, Protein structure

Bioinformatics Introductory Module http://tess.elixir-uk.org/materials/bioinformatics-introductory-module This Bioinformatics Introductory Module for self-study was designed for future students of the  Molecular Mechanisms of Disease (MMD) master’s program at Radboud University Medical Centre. To level out the starting differences in bioinformatics knowledge between this incoming heterogeneous group of students as much as possible, we have designed an introductory course module that should allow them – via self study and hands-on exercises – to acquire sufficient basic bioinformatics knowledge. Keywords: Databases, Sequence homology, Phylogeny, Protein structure, Microarrays, Proteomics, Expression analysis, Protein-protein interaction, Cluster analysis, protein modelling, networks, bioinformatics. Anticipated time needed to complete the module: 40 hours.  Answers for all the exercises are available on request. Of course you do need internet connection to perform the hands-on exercises. There is no need, however, to install programs onto your computer and also low-speed data transfer should be sufficient. All literature that is cited and used throughout the module was taken from open access sources.   Bioinformatics, Genome browsing, Genomics, Protein structure Life Science Researchers Master students 2014-06-27 2017-10-09
Clinical Bioinformatics I - Tutor notes

Clinical Bioinformatics I is a 10 credit module of the new MSc in Clinical Bioinformatics, delivered by Nowgen/NGRL and the University of Manchester in the UK. Clinical Bioinformatics is one of the streams of the NHS Scientific Training Programme (STP). The programme is a mixture of work...

Keywords: Clinical bioinformatics, Genomics, Introduction bioinformatics

Clinical Bioinformatics I - Tutor notes http://tess.elixir-uk.org/materials/clinical-bioinformatics-i-tutor-notes Clinical Bioinformatics I is a 10 credit module of the new MSc in Clinical Bioinformatics, delivered by Nowgen/NGRL and the University of Manchester in the UK. Clinical Bioinformatics is one of the streams of the NHS Scientific Training Programme (STP). The programme is a mixture of work placement based training interspersed with academic teaching.  The tutor notes describe the content taught on each day of the 5 day course, and the approach used to teach the materials. Each day is divided into two parts, a series of lectures in the morning to introduce the topics, then the afternoon sessions present a series of case studies for the students to work through in a 'problem based learning (PBL) approach to reinforce the lecture content.  Clinical bioinformatics, Genomics, Introduction bioinformatics Life Science Researchers healthcare professionals postgrad 2013-11-28 2017-10-09