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Reproducible data analysis with RStudio, github and Rmarkdown

Best practices for writing reproducible data-analysis Creating a reproducible and re-usable data-analysis environment with Rstudio Input: https://github.com/vibbits/RDM-LS Output: https://github.com/vibbits/RDM-LS-solution

Scientific topics: Data management, Data architecture, analysis and design

Keywords: Data analysis

Resource type: Presentation

Reproducible data analysis with RStudio, github and Rmarkdown http://tess.elixir-uk.org/materials/reproducible-data-analysis-with-rstudio-github-and-rmarkdown Best practices for writing reproducible data-analysis Creating a reproducible and re-usable data-analysis environment with Rstudio Input: https://github.com/vibbits/RDM-LS Output: https://github.com/vibbits/RDM-LS-solution Data management Data architecture, analysis and design Data analysis life scientists
Data security and encryption

1. Data security 2. Encryption 3. Passwords

Scientific topics: Data management, Data security

Keywords: data encryption

Resource type: Presentation

Data security and encryption http://tess.elixir-uk.org/materials/data-security-and-encryption 1. Data security 2. Encryption 3. Passwords Data management Data security data encryption life scientists
Valorisation and intellectual properties in research data management

### Valorisation and IP * Basics of Tech Transfer and IPR from an academic perspective * Insights as to: * Why is it important when handling and managing research data? * How do IP rights fit in FAIR data principles * When to safeguard data for proprietary protection? * Where/how...

Scientific topics: Data management

Keywords: intellectual property protection

Resource type: Presentation

Valorisation and intellectual properties in research data management http://tess.elixir-uk.org/materials/valorisation-and-interlectual-properties-in-research-data-management ### Valorisation and IP * Basics of Tech Transfer and IPR from an academic perspective * Insights as to: * Why is it important when handling and managing research data? * How do IP rights fit in FAIR data principles * When to safeguard data for proprietary protection? * Where/how share and publish data if valorisation is in scope? Data management intellectual property protection life scientists
Preserve, publish and share your data

- why preserve data - what data should be preserved - how share data - where to deposit your data - Fairsharing, re3data - ELIXIR Core Resources - Data Formats - Generic archives

Scientific topics: Data management, Data submission, annotation, and curation

Keywords: data formats, ELIXIR Core resources, FAIR data submission

Resource type: Presentation

Preserve, publish and share your data http://tess.elixir-uk.org/materials/preserve-publish-and-share-your-data - why preserve data - what data should be preserved - how share data - where to deposit your data - Fairsharing, re3data - ELIXIR Core Resources - Data Formats - Generic archives Data management Data submission, annotation, and curation data formats, ELIXIR Core resources, FAIR data submission life scientists
Reusing existing data

- how to find existing data (OmicsDI, pubmed, BioStudies, Google Data search, Data Management Hub) - licenses - datasets as first-class research products - research software as first-class research products - data citations

Scientific topics: Data management

Keywords: data licenses, software licenses, data journal

Resource type: Presentation

Reusing existing data http://tess.elixir-uk.org/materials/reusing-existing-data - how to find existing data (OmicsDI, pubmed, BioStudies, Google Data search, Data Management Hub) - licenses - datasets as first-class research products - research software as first-class research products - data citations Data management data licenses, software licenses, data journal life scientists
Organising your data: structure and versioning

how to store and organize data safe, easy and efficient - practical recommendation for folder structures and file naming schemes

Scientific topics: Data management

Keywords: data stewardship, data collection

Resource type: Presentation

Organising your data: structure and versioning http://tess.elixir-uk.org/materials/organising-your-data-structure-and-versioning how to store and organize data safe, easy and efficient - practical recommendation for folder structures and file naming schemes Nele Pauwels Data management data stewardship, data collection
FAIRify your data: data documentation and metadata

“Documentation is a love letter that you write to your future self.” Damian Conway (2005) Make your data as useful as possible for “your future self” and others Never forget what you did or how or why you did it Always find beck your precious data (easily) Make data understandable,...

Scientific topics: Data management

Keywords: data documentation, metadata

Resource type: Presentation

FAIRify your data: data documentation and metadata http://tess.elixir-uk.org/materials/fairify-your-data-data-documentation-and-metadata “Documentation is a love letter that you write to your future self.” Damian Conway (2005) Make your data as useful as possible for “your future self” and others Never forget what you did or how or why you did it Always find beck your precious data (easily) Make data understandable, reproducible and reusable by “your future self” and others Avoid misinterpretation Data management data documentation, metadata life scientists
Data Management Plans

dmponline.be - creating data management plans why, what to cover, examples and self-assessment grids

Keywords: Data management planning

Resource type: Presentation

Data Management Plans http://tess.elixir-uk.org/materials/data-management-plans dmponline.be - creating data management plans why, what to cover, examples and self-assessment grids Data management planning life scientists
Privacy and GDPR in the research life cycle

0. The basics 1. Planning your research from a GDPR point of view 2. From planning to collecting your data 3. Structuring and analyzing your data 4. Sharing, publishing, archiving and destroying your data

Scientific topics: Data management

Keywords: GDPR

Resource type: Presentation

Privacy and GDPR in the research life cycle http://tess.elixir-uk.org/materials/privacy-and-gdpr-in-the-research-life-cycle 0. The basics 1. Planning your research from a GDPR point of view 2. From planning to collecting your data 3. Structuring and analyzing your data 4. Sharing, publishing, archiving and destroying your data Data management GDPR life scientists
Research Data Management: Trends and requirements

Paula Oset - Research funders and journal policies

Scientific topics: Data management

Keywords: journal policies, research funding

Resource type: Presentation

Research Data Management: Trends and requirements http://tess.elixir-uk.org/materials/research-data-management-trends-and-requirements Paula Oset - Research funders and journal policies Data management journal policies, research funding life scientists
Introduction to Research Data Management and the data life cycle

RESEARCH DATA MANAGEMENT IN LIFE SCIENCES Introduction to RDM & data lifecycle Thomas Van de Velde (Data steward team Ghent University)

Keywords: research data, data management

Resource type: Presentation

Introduction to Research Data Management and the data life cycle http://tess.elixir-uk.org/materials/introduction-to-research-data-management-and-the-data-life-cycle RESEARCH DATA MANAGEMENT IN LIFE SCIENCES Introduction to RDM & data lifecycle Thomas Van de Velde (Data steward team Ghent University) research data, data management life scientists
Statistics - Interval-Wise Testing for omics data

Statistical Analyses for omics data Questions of the tutorial: - How to visualize high-resolution omics data in different groups of genomic regions? - How to evaluate differences in high-resolution omics data between groups of genomic regions? - How to detect locations and scales at which the...

Resource type: Tutorial

Statistics - Interval-Wise Testing for omics data http://tess.elixir-uk.org/materials/statistics-interval-wise-testing-for-omics-data Statistical Analyses for omics data Questions of the tutorial: - How to visualize high-resolution omics data in different groups of genomic regions? - How to evaluate differences in high-resolution omics data between groups of genomic regions? - How to detect locations and scales at which the significant effects unfold? Objectives of the tutorial: - Pre-process high-resolution omics data - Create pointwise boxplots corresponding to different groups of genomic regions - Perform the Interval-Wise Testing between two groups of genomic regions - Visualize and inspect test results - Detect relevant locations and scales
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 http://tess.elixir-uk.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
Genome Annotation - Genome annotation with Prokka

Genome annotation is a multi-level process that includes prediction of protein-coding genes, as well as other functional genome units such as structural RNAs, tRNAs, small RNAs, pseudogenes, control regions, direct and inverted repeats, insertion sequences, transposons and other mobile...

Resource type: Tutorial

Genome Annotation - Genome annotation with Prokka http://tess.elixir-uk.org/materials/genome-annotation-genome-annotation-with-prokka Genome annotation is a multi-level process that includes prediction of protein-coding genes, as well as other functional genome units such as structural RNAs, tRNAs, small RNAs, pseudogenes, control regions, direct and inverted repeats, insertion sequences, transposons and other mobile elements. Questions of the tutorial: - How to annotate a bacterial genome? - How to visualize annoted genomic features? Objectives of the tutorial: - Load genome into Galaxy - Annotate genome with Prokka - View annotations in JBrowse
Genome Annotation - Genome Annotation

Genome annotation is a multi-level process that includes prediction of protein-coding genes, as well as other functional genome units such as structural RNAs, tRNAs, small RNAs, pseudogenes, control regions, direct and inverted repeats, insertion sequences, transposons and other mobile elements.

Resource type: Tutorial

Genome Annotation - Genome Annotation http://tess.elixir-uk.org/materials/genome-annotation-genome-annotation Genome annotation is a multi-level process that includes prediction of protein-coding genes, as well as other functional genome units such as structural RNAs, tRNAs, small RNAs, pseudogenes, control regions, direct and inverted repeats, insertion sequences, transposons and other mobile elements.
Variant Analysis - Mapping and molecular identification of phenotype-causing mutations

Exome sequencing means that all protein-coding genes in a genome are sequenced Questions of the tutorial: - What is mapping-by-sequencing? - How can it help you identify the causative mutation in phenotypic mutants isolated from genetic screens? Objectives of the tutorial: - Use joint...

Resource type: Tutorial

Variant Analysis - Mapping and molecular identification of phenotype-causing mutations http://tess.elixir-uk.org/materials/variant-analysis-mapping-by-sequencing Exome sequencing means that all protein-coding genes in a genome are sequenced Questions of the tutorial: - What is mapping-by-sequencing? - How can it help you identify the causative mutation in phenotypic mutants isolated from genetic screens? Objectives of the tutorial: - Use joint variant calling and extraction to facilitate variant comparison across samples - Perform variant linkage analyses for phenotypically selected recombinant progeny - Filter, annotate and report lists of variants
Variant Analysis - Microbial Variant Calling

Exome sequencing means that all protein-coding genes in a genome are sequenced Questions of the tutorial: - How do we detect differences between a set of reads from a microorganism and a reference genome Objectives of the tutorial: - Find variants between a reference genome and a set of...

Resource type: Tutorial

Variant Analysis - Microbial Variant Calling http://tess.elixir-uk.org/materials/variant-analysis-microbial-variant-calling Exome sequencing means that all protein-coding genes in a genome are sequenced Questions of the tutorial: - How do we detect differences between a set of reads from a microorganism and a reference genome Objectives of the tutorial: - Find variants between a reference genome and a set of reads - Visualise the SNP in context of the reads aligned to the genome - Determine the effect of those variants on genomic features - Understand if the SNP is potentially affecting the phenotype
Epigenetics - Hi-C analysis of Drosophila melanogaster cells using HiCExplorer

DNA methylation is an epigenetic mechanism used by higher eukaryotes and involved in e.g. gene expression, X-Chromosome inactivating, imprinting, and gene silencing of germline specific gene and repetitive elements. Questions of the tutorial: - Why is a Hi-C analysis useful? - What is...

Resource type: Tutorial

Epigenetics - Hi-C analysis of Drosophila melanogaster cells using HiCExplorer http://tess.elixir-uk.org/materials/epigenetics-hi-c-analysis-of-drosophila-melanogaster-cells-using-hicexplorer DNA methylation is an epigenetic mechanism used by higher eukaryotes and involved in e.g. gene expression, X-Chromosome inactivating, imprinting, and gene silencing of germline specific gene and repetitive elements. Questions of the tutorial: - Why is a Hi-C analysis useful? - What is 'chromosome conformation capture'? - What are main steps in order to generate and plot a Hi-C contact matrix?
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 http://tess.elixir-uk.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.
ChIP-Seq data analysis - Identification of the binding sites of the Estrogen receptor

ChIP-sequencing is a method used to analyze protein interactions with DNA. Questions of the tutorial: - How is raw ChIP-seq data processed and analyzed? - What are the binding sites of the Estrogen receptor? Objectives of the tutorial: - Inspect read quality with FastQC - Map reads with...

Resource type: Tutorial

ChIP-Seq data analysis - Identification of the binding sites of the Estrogen receptor http://tess.elixir-uk.org/materials/chip-seq-data-analysis-identification-of-the-binding-sites-of-the-estrogen-receptor ChIP-sequencing is a method used to analyze protein interactions with DNA. Questions of the tutorial: - How is raw ChIP-seq data processed and analyzed? - What are the binding sites of the Estrogen receptor? Objectives of the tutorial: - Inspect read quality with FastQC - Map reads with Bowtie2 - Assess the quality of an ChIP-seq experiments - Extract coverage files - Call enriched regions or peaks
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 http://tess.elixir-uk.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
Transcriptomics - Visualization of RNA-Seq results with CummeRbund

Training material for all kinds of transcriptomics analysis. Questions of the tutorial: - How are RNA-Seq results stored? - Why are visualization techniques needed? - How to select our desired subjects for differential gene expression analysis? Objectives of the tutorial: - Manage RNA-Seq...

Resource type: Tutorial

Transcriptomics - Visualization of RNA-Seq results with CummeRbund http://tess.elixir-uk.org/materials/transcriptomics-visualization-of-rna-seq-results-with-cummerbund Training material for all kinds of transcriptomics analysis. Questions of the tutorial: - How are RNA-Seq results stored? - Why are visualization techniques needed? - How to select our desired subjects for differential gene expression analysis? Objectives of the tutorial: - Manage RNA-Seq results - Extract the desired subject for differential gene expression analysis - Visualize information
Proteomics - Peptide and Protein ID using OpenMS tools

Training material for proteomics workflows in Galaxy Questions of the tutorial: - How to convert LC-MS/MS raw files? - How to identify peptides? - How to identify proteins? - How to evaluate the results? Objectives of the tutorial: - Protein identification from LC-MS/MS raw files.

Resource type: Tutorial

Proteomics - Peptide and Protein ID using OpenMS tools http://tess.elixir-uk.org/materials/proteomics-peptide-and-protein-id-using-openms-tools Training material for proteomics workflows in Galaxy Questions of the tutorial: - How to convert LC-MS/MS raw files? - How to identify peptides? - How to identify proteins? - How to evaluate the results? Objectives of the tutorial: - Protein identification from LC-MS/MS raw files.
Variant Analysis - Exome sequencing data analysis

Exome sequencing means that all protein-coding genes in a genome are sequenced Questions of the tutorial: - How to identify the genetic variation with the use of exome sequencing? - What is the pipeline of the process of finding genetic variation which caused the disease? Objectives of the...

Resource type: Tutorial

Variant Analysis - Exome sequencing data analysis http://tess.elixir-uk.org/materials/variant-analysis-exome-sequencing-data-analysis Exome sequencing means that all protein-coding genes in a genome are sequenced Questions of the tutorial: - How to identify the genetic variation with the use of exome sequencing? - What is the pipeline of the process of finding genetic variation which caused the disease? Objectives of the tutorial: - Identification of the genetic variation using the exome sequencing - Using FreeBayes calls for variants generating - Variant analysis and GEMINI queries
ChIP-Seq data analysis - Identification of the binding sites of the T-cell acute lymphocytic leukemia protein 1 (TAL1)

ChIP-sequencing is a method used to analyze protein interactions with DNA. Questions of the tutorial: - How is raw ChIP-seq data processed and analyzed? - What are the binding sites of Tal1? - Which genes are regulated by Tal1? Objectives of the tutorial: - Inspect read quality with FastQC -...

Resource type: Tutorial

ChIP-Seq data analysis - Identification of the binding sites of the T-cell acute lymphocytic leukemia protein 1 (TAL1) http://tess.elixir-uk.org/materials/chip-seq-data-analysis-identification-of-the-binding-sites-of-the-t-cell-acute-lymphocytic-leukemia-protein-1-tal1 ChIP-sequencing is a method used to analyze protein interactions with DNA. Questions of the tutorial: - How is raw ChIP-seq data processed and analyzed? - What are the binding sites of Tal1? - Which genes are regulated by Tal1? Objectives of the tutorial: - Inspect read quality with FastQC - Perform read trimming with Trimmomatic - Align trimmed reads with BWA - Assess quality and reproducibility of experiments - Identify Tal1 binding sites with MACS2 - Determine unique/common Tal1 binding sites from G1E and Megakaryocytes - Identify unique/common Tal1 peaks occupying gene promoters - Visually inspect Tal1 peaks with Trackster
Assembly - De Bruijn Graph 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 - De Bruijn Graph Assembly http://tess.elixir-uk.org/materials/assembly-de-bruijn-graph-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: - What are the factors that affect genome assembly? - How does Genome assembly work? Objectives of the tutorial: - Perform an optimised Velvet assembly with the Velvet Optimiser - Compare this assembly with those we did in the basic tutorial - Perform an assembly using the SPAdes assembler.
Assembly - Introduction to Genome 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 - Introduction to Genome Assembly http://tess.elixir-uk.org/materials/assembly-introduction-to-genome-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: - How do we perform a very basic genome assembly from short read data? Objectives of the tutorial: - assemble some paired end reads using Velvet - examine the output of the assembly.
Introduction to Galaxy Analyses - From peaks to genes

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 use Galaxy? - How to get...

Resource type: Tutorial

Introduction to Galaxy Analyses - From peaks to genes http://tess.elixir-uk.org/materials/galaxy-introduction-from-peaks-to-genes 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 use Galaxy? - How to get from peak regions to a list of gene names? 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
Epigenetics - DNA Methylation data analysis

DNA methylation is an epigenetic mechanism used by higher eukaryotes and involved in e.g. gene expression, X-Chromosome inactivating, imprinting, and gene silencing of germline specific gene and repetitive elements. Questions of the tutorial: - What is methylation and why it cannot be...

Resource type: Tutorial

Epigenetics - DNA Methylation data analysis http://tess.elixir-uk.org/materials/epigenetics-dna-methylation-data-analysis DNA methylation is an epigenetic mechanism used by higher eukaryotes and involved in e.g. gene expression, X-Chromosome inactivating, imprinting, and gene silencing of germline specific gene and repetitive elements. Questions of the tutorial: - What is methylation and why it cannot be recognised by a normal NGS procedure? - Can a different methylation influence the expression of a gene? How? - Which tools you can use to analyse methylation data? Objectives of the tutorial: - Learn how to analyse methylation data - Get a first intuition what are common pitfalls.
Transcriptomics - Differential abundance testing of small RNAs

Training material for all kinds of transcriptomics analysis. Questions of the tutorial: - What small RNAs are expressed? - What RNA features have significantly different numbers of small RNAs targeting them between two conditions? Objectives of the tutorial: - Process small RNA-seq datasets...

Resource type: Tutorial

Transcriptomics - Differential abundance testing of small RNAs http://tess.elixir-uk.org/materials/transcriptomics-differential-abundance-testing-of-small-rnas Training material for all kinds of transcriptomics analysis. Questions of the tutorial: - What small RNAs are expressed? - What RNA features have significantly different numbers of small RNAs targeting them between two conditions? Objectives of the tutorial: - Process small RNA-seq datasets to determine quality and reproducibility. - Filter out contaminants (e.g. rRNA reads) in small RNA-seq datasets. - Differentiate between subclasses of small RNAs based on their characteristics. - Identify differently abundant small RNAs and their targets.