Tutorial on developing Building Blocks
This section provides a step-by-step by tutorial on how to develop Building Blocks using the permedcoe package and an application that uses them.
Scientific topics: Personalised medicine, Workflows, Bioinformatics
Keywords: HPC, building blocks
Resource type: Tutorial
Tutorial on developing Building Blocks
https://permedcoe.readthedocs.io/en/latest/04_creating/04_tutorial/tutorial.html
http://tess.elixir-uk.org/materials/tutorial-on-developing-building-blocks
This section provides a step-by-step by tutorial on how to develop Building Blocks using the permedcoe package and an application that uses them.
Javi Conejero
Personalised medicine
Workflows
Bioinformatics
HPC, building blocks
Anyone interested in simulation of metabolic models, and in PerMedCoE tools and activities
FAIR data - Module 4 (share and publish data)
Partager et diffuser les données. Le cadre juridique, les entrepôts et les licences sur les données
Scientific topics: Data management, Biology, Bioinformatics
Keywords: data sharing, Data publishing, legal framework, data warehouse, licensing, data reuse
Resource type: Slides
FAIR data - Module 4 (share and publish data)
https://ifb-elixirfr.github.io/IFB-FAIR-data-training/modules/module4.html
http://tess.elixir-uk.org/materials/fair-data-module-4-share-and-publish-data
Partager et diffuser les données. Le cadre juridique, les entrepôts et les licences sur les données
Frédéric de Lamotte
Paulette Lieby
Lionel Maurel
Hélène Chiapello
Thomas Denecker
Jean-François Dufayard
Gautier Sarah
Julien Seiler
Data management
Biology
Bioinformatics
data sharing, Data publishing, legal framework, data warehouse, licensing, data reuse
Biologists
bioinformaticians
Biomedical researchers
FAIR data - Module 3 (Metadata)
Les Métadonnées : les standards du domaine des données omiques en biologie et séances pratiques d’annotations de jeux de données
Scientific topics: Data management, Biology, Bioinformatics
Operations: Data handling
Keywords: metadata, data annotation, life science standards, data sharing
Resource type: Slides
FAIR data - Module 3 (Metadata)
https://ifb-elixirfr.github.io/IFB-FAIR-data-training/modules/module3.html
http://tess.elixir-uk.org/materials/fair-data-module-3-metadata
Les Métadonnées : les standards du domaine des données omiques en biologie et séances pratiques d’annotations de jeux de données
Frédéric de Lamotte
Hélène Chiapello
Thomas Denecker
Jean-François Dufayard
Gautier Sarah
Paulette Lieby
Data management
Biology
Bioinformatics
metadata, data annotation, life science standards, data sharing
Biologists
bioinformaticians
Biomedical researchers
FAIR data - Module 2 (data life cycle)
La vie des données pendant le projet : Principe et outils pour organiser, nommer, versionner, stocker, archiver, mes données
Scientific topics: Bioinformatics, Biology, Data management
Operations: Data handling
Keywords: Data preserving, Data storage
Resource type: Slides
FAIR data - Module 2 (data life cycle)
https://ifb-elixirfr.github.io/IFB-FAIR-data-training/modules/module2.html
http://tess.elixir-uk.org/materials/fair-data-module-2
La vie des données pendant le projet : Principe et outils pour organiser, nommer, versionner, stocker, archiver, mes données
Frédéric de Lamotte
Julien Seiler
Bioinformatics
Biology
Data management
Data preserving, Data storage
Biologists
bioinformaticians
Biomedical researchers
galaxy.sciensano.be
This training is meant specifically for the “Galaxy @Sciensano” that is available at https://galaxy.sciensano.be/ and serves two purposes. First, it serves as an introduction in how to handle and employ the Galaxy instance hosted by Sciensano. Secondly, is also serves as a tutorial into both the...
Scientific topics: Microbiology, Sequencing, Genomics, Public health and epidemiology, Bioinformatics
Resource type: Video, Tutorial
galaxy.sciensano.be
https://www.youtube.com/watch?v=z0oxaaNzZks&list=PL9O-3w2bLZ4X5DJGYlbqL60PQDzn42Wjh
http://tess.elixir-uk.org/materials/galaxy-sciensano-training
This training is meant specifically for the “Galaxy @Sciensano” that is available at https://galaxy.sciensano.be/ and serves two purposes. First, it serves as an introduction in how to handle and employ the Galaxy instance hosted by Sciensano. Secondly, is also serves as a tutorial into both the basics of next-generation sequencing data analysis, but also more specialized topics of interest in public health (e.g. AMR detection, cgMLST analysis etc., SNP-based outbreak analysis etc.). The training consists specifically out of a series of training videos that are publicly available on YouTube.
Raf Winand
Microbiology
Sequencing
Genomics
Public health and epidemiology
Bioinformatics
Microbiologists
Public Health Professionals
Life Science Researchers
Datanator tutorial
Datanator is an integrated database of genomic and biochemical data designed to help investigators find data about specific molecules and reactions in specific organisms and specific environments for meta-analyses and mechanistic models. Datanator currently includes metabolite concentrations, RNA...
Scientific topics: Omics, Bioinformatics, Systems biology, Cell biology, Molecular biology
Operations: Filtering, Query and retrieval
Keywords: genomics, Proteomics, transcriptomics, Metabolomics, reaction kinetics, Kinetic modeling, meta analysis
Resource type: Tutorial
Datanator tutorial
https://www.datanator.info/help
http://tess.elixir-uk.org/materials/datanator-tutorial
Datanator is an integrated database of genomic and biochemical data designed to help investigators find data about specific molecules and reactions in specific organisms and specific environments for meta-analyses and mechanistic models. Datanator currently includes metabolite concentrations, RNA modifications and half-lives, protein abundances and modifications, and reaction kinetics integrated from several databases and numerous publications. The Datanator website and REST API provide tools for extracting clouds of data about specific molecules and reactions in specific organisms and specific environments, as well as data about similar molecules and reactions in taxonomically similar organisms.
This tutorial provides a brief introduction to the Datanator database and web application. The tutorial illustrates how to search the Datanator database and obtain and refine clouds of data about specific metabolites, RNA, proteins, and reactions of interest.
Yosef Roth
Jonathan Karr
Omics
Bioinformatics
Systems biology
Cell biology
Molecular biology
genomics, Proteomics, transcriptomics, Metabolomics, reaction kinetics, Kinetic modeling, meta analysis
mololecular cell biologists
systems biologists
bioinformaticians
Computational biologists
modelers
bio.tools documentation
Documentation for the [bio.tools](https://bio.tools) Bioinformatics Tools and Services Discovery Portal.
Scientific topics: Ontology and terminology, Computational biology, Data submission, annotation, and curation, Bioinformatics
Operations: Data retrieval
Keywords: Tools, Curation, Software, Sofware curation, Tool curation
Resource type: Documentation, API reference
bio.tools documentation
https://biotools.readthedocs.io
http://tess.elixir-uk.org/materials/bio-tools-documentation
Documentation for the [bio.tools](https://bio.tools) Bioinformatics Tools and Services Discovery Portal.
Ontology and terminology
Computational biology
Data submission, annotation, and curation
Bioinformatics
Tools, Curation, Software, Sofware curation, Tool curation
Researchers
Software providers
Developers
Curators
High Performance Computing (HPC) in Life Sciences
High-throughput sequencing data analysis requires new technical competencies and HPC is one of them. SIB has developed an e-learning module in HPC, as part of the ELIXIR-EXCELERATE project. e-learning has the potential to reach a wider audience, in any location and any time, and can be used...
Scientific topics: Biology, Bioinformatics, Computer science
Keywords: High performance computing, high-performance computing
Resource type: Tutorial, Slideshow, e-learning
High Performance Computing (HPC) in Life Sciences
https://edu.sib.swiss/course/view.php?name=HPCel
http://tess.elixir-uk.org/materials/high-performance-computing-hpc-in-life-sciences
High-throughput sequencing data analysis requires new technical competencies and HPC is one of them. SIB has developed an e-learning module in HPC, as part of the ELIXIR-EXCELERATE project. e-learning has the potential to reach a wider audience, in any location and any time, and can be used either as the electronic component of a blended training format or as a self-running learning product.
Robin Engler
Vassilios Ioannidis
Grégoire Rossier
Volker Flegel
Heinz Stockinger
Biology
Bioinformatics
Computer science
High performance computing, high-performance computing
PhD students
All postgraduates
Life Science Researchers
Learning structural bioinformatics and evolution with a snake puzzle
We propose here a working unit for teaching basic concepts of structural bioinformatics and evolution through the example of a wooden snake puzzle, strikingly similar to toy models widely used in the literature of protein folding.
Scientific topics: Protein structure analysis, Molecular biology, Evolutionary biology, Bioinformatics
Resource type: course materials
Learning structural bioinformatics and evolution with a snake puzzle
https://peerj.com/articles/cs-100/
http://tess.elixir-uk.org/materials/learning-structural-bioinformatics-and-evolution-with-a-snake-puzzle
We propose here a working unit for teaching basic concepts of structural bioinformatics and evolution through the example of a wooden snake puzzle, strikingly similar to toy models widely used in the literature of protein folding.
Gonzalo S. Nido
Ludovica Bachschmid-Romano
Ugo Bastolla
Alberto Pascual-García
Protein structure analysis
Molecular biology
Evolutionary biology
Bioinformatics
Master students
Undergraduate students
Bioinformática con Ñ
"Bioinformática con Ñ" is a project born in 2013 aimed to provide specialized educational bibliography on Bioinformatics for Spanish speakers. The first release, published in 2014 and edited by Álvaro Sebastián and Alberto Pascual-García, consists on more than 500 pages where the following...
Scientific topics: Systems biology, Bioinformatics
Keywords: introduction to bioinformatics, structural biology, biomolecular databases, Systems biology, phylogenetics, Programming, Sequence Analysis, DNA RNA, Virtual Screening, molecular evolution, molecular dynamics, Molecular docking, normal modes analysis, Proteins, protein folding, protein structure alignment, chromatin structure, intrinsically disordered proteins, data minning, R-programming, parallel computing, bibliography management
Resource type: Book
Bioinformática con Ñ
https://zenodo.org/communities/bioinfconn
http://tess.elixir-uk.org/materials/bioinformatica-con-n
"Bioinformática con Ñ" is a project born in 2013 aimed to provide specialized educational bibliography on Bioinformatics for Spanish speakers. The first release, published in 2014 and edited by Álvaro Sebastián and Alberto Pascual-García, consists on more than 500 pages where the following matters are covered: biomedical databases, sequence analysis, phylogeny and evolution, structural biology, including diverse topics such as docking, virtual screening or molecular dynamics, statistics and R, systems biology, programming skills, data mining, parallel computation, bibliography management and science article writing.
F. Abascal, J. Aguirre, E. Andrés-León, D. Bajic, D. Baú, J. A. Bueren-Calabuig, Á. Cortés-Cabrera, I. Dotu, J. M. Fernández, H. G. D. Santos, B. Garcı́a-Jiménez, R. Guantes, I. Irisarri, N. Jiménez-Lozano, J. Klett, R. Méndez, A. Morreale, A. Pascual-Garcı́a, A. Perona, A. Sebastian, M. Stich, S. Tarazona, I. Yruela y R. Zardoya
Portada: Enrique Sahagún
Systems biology
Bioinformatics
introduction to bioinformatics, structural biology, biomolecular databases, Systems biology, phylogenetics, Programming, Sequence Analysis, DNA RNA, Virtual Screening, molecular evolution, molecular dynamics, Molecular docking, normal modes analysis, Proteins, protein folding, protein structure alignment, chromatin structure, intrinsically disordered proteins, data minning, R-programming, parallel computing, bibliography management
Anyone interested in bioinformatics
EMBL-EBI Train Online
If you work in the life sciences, you may find that you’re spending less time doing experiments and more time analysing huge amounts of biological data. Train online is here to help you do this quickly and efficiently.
Scientific topics: Bioinformatics
Keywords: Bioinformatics, Chemical biology, Cross domain, Dna rna, Gene expression, Literature, Ontologies, Proteins, Structures, Systems
EMBL-EBI Train Online
https://www.mygoblet.org/training-portal/materials/embl-ebi-train-online
http://tess.elixir-uk.org/materials/embl-ebi-train-online
If you work in the life sciences, you may find that you’re spending less time doing experiments and more time analysing huge amounts of biological data. Train online is here to help you do this quickly and efficiently.
Nicole Vasilevsky
Bioinformatics
Bioinformatics, Chemical biology, Cross domain, Dna rna, Gene expression, Literature, Ontologies, Proteins, Structures, Systems
Beginner informatics
Life sciences
2018-05-11
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
http://jensenlab.org/training/string/
http://tess.elixir-uk.org/materials/string-exercises
Hands-on exercises using the STRING, STITCH, and DISEASES databases through their respective web interfaces.
Lars Juhl Jensen
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
http://jensenlab.org/training/stringapp/
http://tess.elixir-uk.org/materials/cytoscape-stringapp-exercises
Hands-on exercises using the stringApp for Cytoscape to retrieve molecular networks from the STRING and STITCH databases.
Lars Juhl Jensen
Nadezhda T. Doncheva
Helen V. Cook
John "Scooter" Morris
Data visualisation
Proteomics
Protein interactions
Molecular interactions, pathways and networks
Bioinformatics
Bioinformaticians
Biologists
Train the trainer
Train the Trainer course materials
Scientific topics: Bioinformatics, Computational biology
Keywords: training, pedagogy
Train the trainer
http://mygoblet.org/training-portal/materials/train-trainer-course-materials
http://tess.elixir-uk.org/materials/train-the-trainer
Train the Trainer course materials
Chris Taylor
Emily Angiolini
Jamie Edwards
Paul Yorke
Bioinformatics
Computational biology
training, pedagogy
Trainers
Galaxy for NGS analysis: A web-based platform for data intensive biological research
Galaxy is an open, web-based platform for data intensive biomedical research. It offers an accessible, reproducible and transparent computational workbench for the biologist. This workbench is very useful in automating repeated analysis steps in the form of workflows. The workbench interface is...
Scientific topics: Workflows, High-throughput sequencing, Nucleic acid sequence analysis, Bioinformatics
Keywords: John Innes Centre, JIC
Galaxy for NGS analysis: A web-based platform for data intensive biological research
http://training.scicomp.jic.ac.uk/docs/galaxycourse_book/index.html
http://tess.elixir-uk.org/materials/galaxy-for-ngs-analysis
Galaxy is an open, web-based platform for data intensive biomedical research. It offers an accessible, reproducible and transparent computational workbench for the biologist. This workbench is very useful in automating repeated analysis steps in the form of workflows. The workbench interface is simple and intuitive, supports collaboration and integrates data and analysis tools together in a single place.
Anmol J. Hemrom
Workflows
High-throughput sequencing
Nucleic acid sequence analysis
Bioinformatics
John Innes Centre, JIC
A recipe for setting up a free Virtual Machine environment for bioinformatics training and production
This material is a guideline for any bioinformatics group that would like to manage and distribute a cloud environment of virtual machines (VMs) for their users using only free components, if reasonable powerful compute and storage hardware is available. It is also a record of the creation of our...
Scientific topics: Bioinformatics
Keywords: Cloud computing, Virtual machine
A recipe for setting up a free Virtual Machine environment for bioinformatics training and production
https://docs.google.com/document/d/1mF1dvRvdnR7lhFVyQ9wgGo1emst_gdAELWfjNZcKljM/edit
http://tess.elixir-uk.org/materials/a-recipe-for-setting-up-a-free-virtual-machine-environment-for-bioinformatics-training-and-production
This material is a guideline for any bioinformatics group that would like to manage and distribute a cloud environment of virtual machines (VMs) for their users using only free components, if reasonable powerful compute and storage hardware is available. It is also a record of the creation of our own setup which might be improved by sharing and is hopefully useful for others.
Alexandros C. Dimopoulos
Martin Reczko
Bioinformatics
Cloud computing, Virtual machine
High-throughput sequencing training materials repository
This repository includes training materials on the analysis of high-throughput sequencing (HTS) data, on the following topics: Introduction to HTS, RNA-seq, ChIP-seq and variant calling analysis.
Materials have been annotated following the standards and guidelines proposed at the “Best practices...
Scientific topics: Data architecture, analysis and design, Bioinformatics
Keywords: High throughput sequencing analysis, Rna seq chip seq anayses, Variant calling
High-throughput sequencing training materials repository
https://www.mygoblet.org/training-portal/materials/high-throughput-sequencing-training-materials-repository
http://tess.elixir-uk.org/materials/high-throughput-sequencing-training-materials-repository
This repository includes training materials on the analysis of high-throughput sequencing (HTS) data, on the following topics: Introduction to HTS, RNA-seq, ChIP-seq and variant calling analysis.
Materials have been annotated following the standards and guidelines proposed at the “Best practices in next-generation sequencing data analysis” workshop which took place at the University of Cambridge, UK, on 13-14 January 2015.
Following this workshop, a Git repository has been set up for sharing annotated materials. This repository uses Git, hence it is decentralized and self-managed by the community and can be forked/built-upon by all users.
Gabriella Rustici
Data architecture, analysis and design
Bioinformatics
High throughput sequencing analysis, Rna seq chip seq anayses, Variant calling
Life Science Researchers
PhD students
Trainers
beginner bioinformaticians
post-docs
2015-12-17
2017-10-09
RNA-seq data analysis: from raw reads to differentially expressed genes
This course material introduces the central concepts, analysis steps and file formats in RNA-seq data analysis. It covers the analysis from quality control to differential expression detection, and workflow construction and several data visualizations are also practised. The material consists of...
Scientific topics: Sequencing, RNA, Data architecture, analysis and design, Bioinformatics
Keywords: Bioinformatics, Differential expression, Ngs, Rna seq
RNA-seq data analysis: from raw reads to differentially expressed genes
https://www.mygoblet.org/training-portal/materials/rna-seq-data-analysis-raw-reads-differentially-expressed-genes
http://tess.elixir-uk.org/materials/rna-seq-data-analysis-from-raw-reads-to-differentially-expressed-genes
This course material introduces the central concepts, analysis steps and file formats in RNA-seq data analysis. It covers the analysis from quality control to differential expression detection, and workflow construction and several data visualizations are also practised. The material consists of 10-30 minute lectures intertwined with hands-on exercises, and it can be accomplished in a day. As the user-friendly Chipster software is used in the exercises, no prior knowledge of R/Bioconductor or Unix ir required, and the course is thus suitable for everybody. Our book RNA-seq data analysis: A practical approach (CRC Press) can be used as background reading.
The following topics and analysis tools are covered:
1. Introduction to the Chipster analysis platform
2. Quality control of raw reads (FastQC, PRINSEQ)
3. Preprocessing (Trimmomatic, PRINSEQ)
4. Alignment to reference genome (TopHat2)
5. Alignment level quality control (RseQC)
6. Quantitation (HTSeq)
7. Experiment level quality control with PCA and MDS plots
8. Differential expression analysis (DESeq2, edgeR)
-normalization
-dispersion estimation
-statistical testing
-controlling for batch effects, multifactor designs
-filtering
-multiple testing correction
9. Visualization of reads and results
-genome browser
-Venn diagram
-volcano plot
-plotting normalized counts for a gene
-expression profiles
10. Experimental design
Eija Korpelainen
Sequencing
RNA
Data architecture, analysis and design
Bioinformatics
Bioinformatics, Differential expression, Ngs, Rna seq
Bench biologists
Life Science Researchers
2015-12-04
2017-10-09
TGAC_SeqAhead: NGS current challenges and data analysis for plant researchers
Hands on course held at TGAC (http://www.tgac.ac.uk/) on Monday 19 to Friday 23 May 2014
What is this workshop about?
The course will combine lectures and led discussions to identify key challenges, opportunities and bottlenecks, with practical session on:
Automated and standardized data...
Scientific topics: Sequence analysis, Plant biology, Database management, Bioinformatics
Keywords: Ngs, Ngs bioinformatics, Plants bioinformatics
TGAC_SeqAhead: NGS current challenges and data analysis for plant researchers
https://www.mygoblet.org/training-portal/materials/tgacseqahead-ngs-current-challenges-and-data-analysis-plant-researchers
http://tess.elixir-uk.org/materials/tgac_seqahead-ngs-current-challenges-and-data-analysis-for-plant-researchers
Hands on course held at TGAC (http://www.tgac.ac.uk/) on Monday 19 to Friday 23 May 2014
What is this workshop about?
The course will combine lectures and led discussions to identify key challenges, opportunities and bottlenecks, with practical session on:
Automated and standardized data analysis for plant species data
Data quality checks
Estimation of reproducibility
Batch effects
Statistical concepts
Importance of standards
Data formats
Data integration
What will I learn?
To discuss and reflect on best practice of experimental design and control for using NGS technologies in their context of addressing biological questions
Identify key challenges, opportunities and bottlenecks
Offering a platform for discussion and exploration of the challenges in plant research with a particular emphasis for agri-bioinformatics
Maria Victoria ...
Sequence analysis
Plant biology
Database management
Bioinformatics
Ngs, Ngs bioinformatics, Plants bioinformatics
PhD students
plant researchers
post-docs
2015-06-22
2017-10-09
Workshop on Education in Bioinformatics 2014 - ISMB 2014 - Benjamin Good
Online Gaming in Bioinformatics: The ‘Fun’ Model to Online Bioinformatics Education
Benjamin Good, Senior Staff Scientist, Department of Molecular and Experimental Medicine, The Scripps Research Institute.
Dr. Good’s research focuses on games with a purpose in crowdsourcing biological knowledge....
Scientific topics: Bioinformatics
Keywords: Bioinformatics, Gaming, Online learning
Workshop on Education in Bioinformatics 2014 - ISMB 2014 - Benjamin Good
https://www.mygoblet.org/training-portal/materials/workshop-education-bioinformatics-2014-ismb-2014-benjamin-good
http://tess.elixir-uk.org/materials/workshop-on-education-in-bioinformatics-2014-ismb-2014-benjamin-good
Online Gaming in Bioinformatics: The ‘Fun’ Model to Online Bioinformatics Education
Benjamin Good, Senior Staff Scientist, Department of Molecular and Experimental Medicine, The Scripps Research Institute.
Dr. Good’s research focuses on games with a purpose in crowdsourcing biological knowledge. To this end, his research has contributed to the development of a suite of interactive video games that allow for play, learning and contributions to science: genegames.org. Dr. Good spoke on online games for bioinformatics and how they can (or cannot) be used to teach bioinformatics at WEB 2014 at ISMB 2014.
Michelle Brazas
Bioinformatics
Bioinformatics, Gaming, Online learning
General Interest
2014-08-14
2017-10-09
Writing functions in Python programming
This is a module from the "Python for Biologists" course. It deals with functions and how to write and use them. It also introduces namespaces and the tuple data structure. The module contains several exercises and suggested solutions. The text of exercises is also provided in a separate file.
Scientific topics: Bioinformatics
Keywords: Programming, Python, Python biologists
Writing functions in Python programming
https://www.mygoblet.org/training-portal/materials/writing-functions-python-programming
http://tess.elixir-uk.org/materials/writing-functions-in-python-programming
This is a module from the "Python for Biologists" course. It deals with functions and how to write and use them. It also introduces namespaces and the tuple data structure. The module contains several exercises and suggested solutions. The text of exercises is also provided in a separate file.
allegra.via Via
Bioinformatics
Programming, Python, Python biologists
Biologists
Biologists, Genomicists, Computer Scientists
beginner bioinformaticians
2013-11-04
2017-10-09