Register training material
23 materials found

Authors: Bastian Schiffthaler @bastian  or nekrut 


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
Data Manipulation - Collections: Using dataset collection

A collection of microtutorials explaining data manipulation within Galaxy Questions of the tutorial: - How to manipulate large numbers of datasets at once? Objectives of the tutorial: - Understand and master dataset collections

Resource type: Tutorial

Data Manipulation - Collections: Using dataset collection https://tess.elixir-europe.org/materials/data-manipulation-collections-using-dataset-collection A collection of microtutorials explaining data manipulation within Galaxy Questions of the tutorial: - How to manipulate large numbers of datasets at once? Objectives of the tutorial: - Understand and master dataset collections
User Interface and Features - Histories: Understanding Galaxy history system

A collection of microtutorials explaining various features of the Galaxy user interface Questions of the tutorial: - How do Galaxy histories work? Objectives of the tutorial: - Gain understanding on navigating and manipulating histories

Resource type: Tutorial

User Interface and Features - Histories: Understanding Galaxy history system https://tess.elixir-europe.org/materials/user-interface-and-features-histories-understanding-galaxy-history-system A collection of microtutorials explaining various features of the Galaxy user interface Questions of the tutorial: - How do Galaxy histories work? Objectives of the tutorial: - Gain understanding on navigating and manipulating histories
Assembly - Making sense of a newly assembled genome

DNA sequence data has become an indispensable tool for Molecular Biology & Evolutionary Biology. Study in these fields now require a genome sequence to work from. We call this a 'Reference Sequence.' We need to build a reference for each species. We do this by Genome Assembly. De novo Genome...

Resource type: Tutorial

Assembly - Making sense of a newly assembled genome https://tess.elixir-europe.org/materials/assembly-making-sense-of-a-newly-assembled-genome DNA sequence data has become an indispensable tool for Molecular Biology & Evolutionary Biology. Study in these fields now require a genome sequence to work from. We call this a 'Reference Sequence.' We need to build a reference for each species. We do this by Genome Assembly. De novo Genome Assembly is the process of reconstructing the original DNA sequence from the fragment reads alone. Questions of the tutorial: - I just assembled a genome. How does it compare with already sequenced genomes? - How do I find rearranged, inserted, or deleted regions? Objectives of the tutorial: - Identification of the most closely related genome to my new assembly - Perform sequence comparison to locate rearrangements - Identify genes located in deletions
Variant Analysis - Calling very rare variants

Exome sequencing means that all protein-coding genes in a genome are sequenced Questions of the tutorial: - What frequency of variants is so low that it is obscured by sequencing error rate? - What are the different types of consensus sequences produced from duplex sequencing? Objectives of...

Resource type: Tutorial

Variant Analysis - Calling very rare variants https://tess.elixir-europe.org/materials/variant-analysis-calling-very-rare-variants Exome sequencing means that all protein-coding genes in a genome are sequenced Questions of the tutorial: - What frequency of variants is so low that it is obscured by sequencing error rate? - What are the different types of consensus sequences produced from duplex sequencing? Objectives of the tutorial: - Processing raw duplex sequencing data into consensus sequences - Find rare variants without relying on diploid assumptions
Variant Analysis - Calling variants in diploid systems

Exome sequencing means that all protein-coding genes in a genome are sequenced Questions of the tutorial: - How to find variable sites in diploid genomes? Objectives of the tutorial: - Using Galaxy's main site we will see how to call variants in human genome.

Resource type: Tutorial

Variant Analysis - Calling variants in diploid systems https://tess.elixir-europe.org/materials/variant-analysis-calling-variants-in-diploid-systems Exome sequencing means that all protein-coding genes in a genome are sequenced Questions of the tutorial: - How to find variable sites in diploid genomes? Objectives of the tutorial: - Using Galaxy's main site we will see how to call variants in human genome.
Variant Analysis - Calling variants in non-diploid systems

Exome sequencing means that all protein-coding genes in a genome are sequenced Questions of the tutorial: - How does frequency of mitochondrial polymorphisms change from mother to child? Objectives of the tutorial: - Using Galaxy's main site we will see how to call variants in bacteria,...

Resource type: Tutorial

Variant Analysis - Calling variants in non-diploid systems https://tess.elixir-europe.org/materials/variant-analysis-calling-variants-in-non-diploid-systems Exome sequencing means that all protein-coding genes in a genome are sequenced Questions of the tutorial: - How does frequency of mitochondrial polymorphisms change from mother to child? Objectives of the tutorial: - Using Galaxy's main site we will see how to call variants in bacteria, viruses, and organelles.
Introduction to Galaxy Analyses - NGS data logistics

Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience. Questions of the tutorial: - How to manipulate and process...

Resource type: Tutorial

Introduction to Galaxy Analyses - NGS data logistics https://tess.elixir-europe.org/materials/introduction-to-galaxy-ngs-data-logistics Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience. Questions of the tutorial: - How to manipulate and process NGS data Objectives of the tutorial: - Learn about Fastq, SAM, and BAM.
Introduction to Galaxy - Understanding Galaxy history system

Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience. Questions of the tutorial: - How do Galaxy histories...

Resource type: Tutorial

Introduction to Galaxy - Understanding Galaxy history system https://tess.elixir-europe.org/materials/introduction-to-galaxy-understanding-galaxy-history-system Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience. Questions of the tutorial: - How do Galaxy histories work? Objectives of the tutorial: - Gain understanding on navigating and manipulating histories
Transcriptomics - Reference-based RNAseq data analysis (long)

Training material for all kinds of transcriptomics analysis. Questions of the tutorial: - How to perform analysis of RNAseq data when reference genome is available? Objectives of the tutorial: - Learns basic concepts of RNAseq analysis

Resource type: Tutorial

Transcriptomics - Reference-based RNAseq data analysis (long) https://tess.elixir-europe.org/materials/transcriptomics-reference-based-rnaseq-data-analysis-long Training material for all kinds of transcriptomics analysis. Questions of the tutorial: - How to perform analysis of RNAseq data when reference genome is available? Objectives of the tutorial: - Learns basic concepts of RNAseq analysis
Assembly - Unicycler Assembly

DNA sequence data has become an indispensable tool for Molecular Biology & Evolutionary Biology. Study in these fields now require a genome sequence to work from. We call this a 'Reference Sequence.' We need to build a reference for each species. We do this by Genome Assembly. De novo Genome...

Resource type: Tutorial

Assembly - Unicycler Assembly https://tess.elixir-europe.org/materials/assembly-unicycler-assembly DNA sequence data has become an indispensable tool for Molecular Biology & Evolutionary Biology. Study in these fields now require a genome sequence to work from. We call this a 'Reference Sequence.' We need to build a reference for each species. We do this by Genome Assembly. De novo Genome Assembly is the process of reconstructing the original DNA sequence from the fragment reads alone. Questions of the tutorial: - I have short reads and long reads. How do I assemble a genome? Objectives of the tutorial: - Perform Quality Control on your reads - Perform a Small genome Assembly with Unicycler - Evaluate the Quality of the Assembly with Quast - Annotate the assembly with Prokka
Introduction to Galaxy Analyses - IGV Introduction

Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience.

Resource type: Tutorial

Introduction to Galaxy Analyses - IGV Introduction https://tess.elixir-europe.org/materials/galaxy-introduction-igv-introduction Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience.
Introduction to Galaxy - Multisample Analysis

Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience.

Resource type: Tutorial

Introduction to Galaxy - Multisample Analysis https://tess.elixir-europe.org/materials/galaxy-introduction-multisample-analysis Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience.
Introduction to Galaxy - Using dataset collection

Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience. Questions of the tutorial: - How to manipulate large numbers...

Resource type: Tutorial

Introduction to Galaxy - Using dataset collection https://tess.elixir-europe.org/materials/galaxy-introduction-collections Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience. Questions of the tutorial: - How to manipulate large numbers of datasets at once? Objectives of the tutorial: - Understand and master dataset collections
Introduction to Galaxy Analyses - Galaxy 101

Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience. Questions of the tutorial: - Which coding exon has the...

Resource type: Tutorial

Introduction to Galaxy Analyses - Galaxy 101 https://tess.elixir-europe.org/materials/galaxy-introduction-galaxy-101 Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience. Questions of the tutorial: - Which coding exon has the highest number of single nucleotide polymorphisms (SNPs) on human chromosome 22? Objectives of the tutorial: - Familiarize yourself with the basics of Galaxy - Learn how to obtain data from external sources - Learn how to run tools - Learn how histories work - Learn how to create a workflow - Learn how to share your work
Expression estimation

This introduces how to summarise short read alignments by the annotation of interest to obtain a count-table; i.e. the structure necessary to most downstream expression based analyses. Here, the focus is put on gene-expression, but the aspects of transcript-expression are briefly addressed.

Scientific topics: RNA-Seq

Keywords: GFF3, BAM, Populus-tremula, RNA-Seq, Expression-estimation

Expression estimation https://tess.elixir-europe.org/materials/expression-estimation This introduces how to summarise short read alignments by the annotation of interest to obtain a count-table; i.e. the structure necessary to most downstream expression based analyses. Here, the focus is put on gene-expression, but the aspects of transcript-expression are briefly addressed. RNA-Seq GFF3, BAM, Populus-tremula, RNA-Seq, Expression-estimation
Tutorial

This file describes the main tutorial PDF file. Almost all tutorials and hands-on practices are indeed collated in a single document. In addition to this PDF, R code excerpts and installation instructions are also provided.

Scientific topics: RNA-Seq

Keywords: FASTQ, GFF3, BAM, Populus-tremula, RNA-Seq, Pre-processing, QC, Alignment, Annotation, Expression-estimation, R-programming

Tutorial https://tess.elixir-europe.org/materials/tutorial This file describes the main tutorial PDF file. Almost all tutorials and hands-on practices are indeed collated in a single document. In addition to this PDF, R code excerpts and installation instructions are also provided. RNA-Seq FASTQ, GFF3, BAM, Populus-tremula, RNA-Seq, Pre-processing, QC, Alignment, Annotation, Expression-estimation, R-programming
Populus tremula shows no evidence of sexual dimorphism

**Background:** Although the majority of plant species are co-sexual, being either monoecious or hermaphroditic, a significant number are dioecious, having separate male and female individuals. Evolutionary theory suggests that males and females may develop sexually dimorphic phenotypic and...

Scientific topics: RNA-Seq

Keywords: FASTQ, GFF3, BAM, Populus-tremula, RNA-Seq, Pre-processing, QC, Alignment, Annotation, Expression-estimation, Differential-expression

Populus tremula shows no evidence of sexual dimorphism https://tess.elixir-europe.org/materials/populus-tremula-shows-no-evidence-of-sexual-dimorphism **Background:** Although the majority of plant species are co-sexual, being either monoecious or hermaphroditic, a significant number are dioecious, having separate male and female individuals. Evolutionary theory suggests that males and females may develop sexually dimorphic phenotypic and biochemical traits concordant with each sex having different optimal strategies of resource investment to maximise reproductive success and fitness. The establishment of such sexual dimorphism would result in changes in gene expression patterns in non-floral organs. RNA-Seq FASTQ, GFF3, BAM, Populus-tremula, RNA-Seq, Pre-processing, QC, Alignment, Annotation, Expression-estimation, Differential-expression
Nicolas Delhomme - Bastian Schiffthaler - October 2014 EMBO course material

Material for the course held on EBI Campus, Welcome Trust Center, Hinxton, UK on 20-26th, October 2014. The material cover general RNA-Seq data pre-processing as described in these [guidelines](http://www.epigenesys.eu/en/protocols/bio-informatics/1283-guidelines-for-rna-seq-data-analysis) and...

Scientific topics: RNA-Seq

Keywords: FASTQ, GFF3, BAM, Populus-tremula, RNA-Seq, Pre-processing, QC, Alignment, Annotation, Expression-estimation, Differential-expression, R-programming

Nicolas Delhomme - Bastian Schiffthaler - October 2014 EMBO course material https://tess.elixir-europe.org/materials/nicolas-delhomme-bastian-schiffthaler-october-2014-embo-course-material Material for the course held on EBI Campus, Welcome Trust Center, Hinxton, UK on 20-26th, October 2014. The material cover general RNA-Seq data pre-processing as described in these [guidelines](http://www.epigenesys.eu/en/protocols/bio-informatics/1283-guidelines-for-rna-seq-data-analysis) and reproduces the Differential Expression analysis conducted in Robinson, Delhomme et al., 2014. RNA-Seq FASTQ, GFF3, BAM, Populus-tremula, RNA-Seq, Pre-processing, QC, Alignment, Annotation, Expression-estimation, Differential-expression, R-programming
Differential expression analysis on the Robinson, Delhomme et al. dataset.

A differential expression analysis conducted on the **[Robinson, Delhomme et al., dataset](https://microasp.upsc.se/ngs_trainers/Materials/blob/master/Datasets/Robinson-Delhomme-Populus-tremula-shows-no-evidence-of-sexual-dimorphism.md)**. The dataset has 17 samples and 2 important meta-data: the...

Scientific topics: RNA-Seq

Keywords: RNA-Seq, Differential-expression, R-programming, Statistical-model

Differential expression analysis on the Robinson, Delhomme et al. dataset. https://tess.elixir-europe.org/materials/differential-expression-analysis-on-the-robinson-delhomme-et-al-dataset A differential expression analysis conducted on the **[Robinson, Delhomme et al., dataset](https://microasp.upsc.se/ngs_trainers/Materials/blob/master/Datasets/Robinson-Delhomme-Populus-tremula-shows-no-evidence-of-sexual-dimorphism.md)**. The dataset has 17 samples and 2 important meta-data: the sample sex and year of collection. The goal is to test whether genes are involved in different processes based on the sex of the tree; _i.e._ is there a sexual dimorphism in _Populus tremula_ trees. It has indeed been hypothesized that male tree should be taller so as to spread their pollen further, whereas female would be more resistant to pests and diseases. The existing literature is contradictory, however it resulted from studies where plants were grown in controlled environment. In the present dataset, plant samples were collected in the wild, at a 2 years interval. The latter is a very important factor in the analysis as the 'year effect' is a strong confounding factor that hides the 'sex effect'. The present tutorial, hence, introduces a differential-expression analysis, but goes further by adressing confounding factors and how to _block_ them in an analysis. It is a good dataset to remind trainees that they should always be critical towards the conclusion they draw from their data. RNA-Seq RNA-Seq, Differential-expression, R-programming, Statistical-model
Alignment

Introduction to short-read alignments, including a general overview of existing methods (Burrow-Wheeler-Transform, Maximum Mappable Prefix, _etc._) and some cautionary tales.

Scientific topics: RNA-Seq

Keywords: BAM, Populus-tremula, RNA-Seq, QC, Alignment

Alignment https://tess.elixir-europe.org/materials/alignment Introduction to short-read alignments, including a general overview of existing methods (Burrow-Wheeler-Transform, Maximum Mappable Prefix, _etc._) and some cautionary tales. RNA-Seq BAM, Populus-tremula, RNA-Seq, QC, Alignment
Annotation

This introduces to the different sources of genomic and genic annotation and to their most commonly used format. It also introduces how to ensure that the used annotation are not a source of bias in downstream analyses.

Scientific topics: RNA-Seq

Keywords: GFF3, Populus-tremula, RNA-Seq, Annotation

Annotation https://tess.elixir-europe.org/materials/annotation This introduces to the different sources of genomic and genic annotation and to their most commonly used format. It also introduces how to ensure that the used annotation are not a source of bias in downstream analyses. RNA-Seq GFF3, Populus-tremula, RNA-Seq, Annotation
Quality Control

This is an introduction to the tools available for performing the technical QA of RNA-Seq data and to their results, singling out possible common caveats.

Scientific topics: RNA-Seq

Keywords: FASTQ, RNA-Seq, Pre-processing, QC

Quality Control https://tess.elixir-europe.org/materials/quality-control This is an introduction to the tools available for performing the technical QA of RNA-Seq data and to their results, singling out possible common caveats. RNA-Seq FASTQ, RNA-Seq, Pre-processing, QC