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Target audience: PhD students  or Any students, postdocs or R... 


Initiation to R programming and descriptive statistics

On-line course support for the initiation to R programming and descriptive statistics given to PhD students at Institut Pasteur (Paris, France).

Keywords: R-programming, Descriptive statistics, Statistics, Bioinformatics

Initiation to R programming and descriptive statistics https://tess.elixir-europe.org/materials/initiation-to-r-programming-and-descriptive-statistics On-line course support for the initiation to R programming and descriptive statistics given to PhD students at Institut Pasteur (Paris, France). Blaise Li Étienne Kornobis Sébastien Mella Vincent Guillemot R-programming, Descriptive statistics, Statistics, Bioinformatics PhD students Post-Doctoral Fellows Biologists
Slides from Data Management Planning Workshop

Slides from Data Management Planning workshop for Life Science Projects in Ås 11 March 2020

Scientific topics: Data management

Operations: Data handling

Keywords: Data management plan, data management

Resource type: Slides

Slides from Data Management Planning Workshop https://tess.elixir-europe.org/materials/slides-from-data-management-planning-workshop-1bb3798d-4e70-423c-87b6-82ac7e5e5c54 Slides from Data Management Planning workshop for Life Science Projects in Ås 11 March 2020 Data management Data management plan, data management PhD students Post Docs Professors
Slides from Data Management Planning Workshop

Slides from Data Management Planning workshop for Life Science Projects in Bergen 04 March 2020

Scientific topics: Data management

Operations: Data handling

Keywords: Data management plan, data management

Resource type: Slides

Slides from Data Management Planning Workshop https://tess.elixir-europe.org/materials/slides-from-data-management-planning-workshop Slides from Data Management Planning workshop for Life Science Projects in Bergen 04 March 2020 Data management Data management plan, data management PhD students Post Docs Professors
Ready For BioData Management?

"Ready For BioData Management?" is BioData.pt/ELIXIR-Portugal's capacity building program in data management for the life sciences.

Scientific topics: Data management

Keywords: Data managment plan

Resource type: course materials

Ready For BioData Management? https://tess.elixir-europe.org/materials/ready-for-biodata-management "Ready For BioData Management?" is BioData.pt/ELIXIR-Portugal's capacity building program in data management for the life sciences. Marta Silva Data management Data managment plan Life Science Researchers PhD students Master students Technicians
Bioinformatics Summer School 2019

This one-week intensive summer school in bioinformatics will focus on data analysis and high throughput biology, with a special focus on R/Bioconductor and its application to a wide range of topics across bioinformatics and computational biology. The course is intended for researchers who are...

Scientific topics: Statistics and probability, Omics, RNA-Seq, Proteomics

Operations: Data handling

Bioinformatics Summer School 2019 https://tess.elixir-europe.org/materials/bioinformatics-summer-school-2019 This one-week intensive summer school in bioinformatics will focus on data analysis and high throughput biology, with a special focus on R/Bioconductor and its application to a wide range of topics across bioinformatics and computational biology. The course is intended for researchers who are familiar with omics experimental technologies and their applications in biology, have had some exposure with R, and who want to learn or expand their bioinformatics skills. Martin Morgan Laurent Gatto Janick Mathys Lieven Clement Charlotte Soneson Koen Van den Berge Oliver Crook Statistics and probability Omics RNA-Seq Proteomics PhD students
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: Computer science, Bioinformatics, Biology

Keywords: High performance computing, high-performance computing

Resource type: Tutorial, Slideshow, e-learning

High Performance Computing (HPC) in Life Sciences https://tess.elixir-europe.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. Computer science Bioinformatics Biology High performance computing, high-performance computing PhD students All postgraduates Life Science Researchers
RRegrs package

This tutorial explains how to use a collection of R regression tools for estimating the optimal model via a fully validated procedure.

Keywords: Regression Models

RRegrs package https://tess.elixir-europe.org/materials/rregrs-package This tutorial explains how to use a collection of R regression tools for estimating the optimal model via a fully validated procedure. Regression Models PhD students post-docs
How to use the AffyQC web tool of ArrayAnalysis.org for quality control and pre-processing of Affymetrix microarray data

This tutorial explains how to use the AffyQC web tool of ArrayAnalysis.org for quality control and pre-processing of Affymetrix microarray data.

Keywords: Microarray data analysis, Quality control and data pre-processing, Affymetrix microarrays, Systems biology, Pathway and network analyis

How to use the AffyQC web tool of ArrayAnalysis.org for quality control and pre-processing of Affymetrix microarray data https://tess.elixir-europe.org/materials/how-to-use-the-affyqc-web-tool-of-arrayanalysis-org-for-quality-control-and-pre-processing-of-affymetrix-microarray-data This tutorial explains how to use the AffyQC web tool of ArrayAnalysis.org for quality control and pre-processing of Affymetrix microarray data. Microarray data analysis, Quality control and data pre-processing, Affymetrix microarrays, Systems biology, Pathway and network analyis PhD students post-docs
How to make a new pathway for WikiPathways using PathVisio

This tutorial explains how to a new pathway for WikiPathways using PathVisio.

Keywords: Systems biology, Pathway analysis, Network analysis, Microarray data analysis, Nanomaterials

How to make a new pathway for WikiPathways using PathVisio https://tess.elixir-europe.org/materials/how-to-make-a-new-pathway-for-wikipathways-using-pathvisio This tutorial explains how to a new pathway for WikiPathways using PathVisio. Systems biology, Pathway analysis, Network analysis, Microarray data analysis, Nanomaterials PhD students post-docs
Omics descriptors calculation R package

This tutorial explains how to generate a new set of GO descriptors using two novel created R packages.

Keywords: Gene Ontology

Omics descriptors calculation R package https://tess.elixir-europe.org/materials/omics-descriptors-calculation-r-package This tutorial explains how to generate a new set of GO descriptors using two novel created R packages. Gene Ontology PhD students post-docs
Hands-on workshop in Marine Metagenomics

Materials from the ELIXIR workshop “Hands-on workshop in Marine Metagenomics”, Nov 26-30 2018 at the Arctic University of Norway, Tromso, Norway

Scientific topics: Marine biology, Metagenomics, Genomics

Keywords: Marine Metagenomics, eLearning, EeLP

Resource type: course materials, Training materials, Slides

Hands-on workshop in Marine Metagenomics https://tess.elixir-europe.org/materials/hands-on-workshop-in-marine-metagenomics Materials from the ELIXIR workshop “Hands-on workshop in Marine Metagenomics”, Nov 26-30 2018 at the Arctic University of Norway, Tromso, Norway Erik Hjerde Nils Peder Willassen Espen Aberg Espen Mikal Robertsen Marine biology Metagenomics Genomics Marine Metagenomics, eLearning, EeLP Researchers Master students PhD students
Summer School 2018 TrainMalta: Epigenomics. Introduction to Unix and R

An overview of Unix and R for bioinformatics

Keywords: Unix, R-programming

Resource type: Training materials

Summer School 2018 TrainMalta: Epigenomics. Introduction to Unix and R https://tess.elixir-europe.org/materials/summer-school-2018-trainmalta-epigenomics-introduction-to-unix-and-r An overview of Unix and R for bioinformatics Luigi Grassi Unix, R-programming PhD students Life Science Researchers
Pathway module of ArrayAnalysis.org

This tutorial explains how to use the Pathway module of ArrayAnalysis.org for pathway analysis of microarray data.

Keywords: Gene Ontology

Pathway module of ArrayAnalysis.org https://tess.elixir-europe.org/materials/pathway-module-of-arrayanalysis-org This tutorial explains how to use the Pathway module of ArrayAnalysis.org for pathway analysis of microarray data. Gene Ontology PhD students post-docs
Data visualisation with R and ggplot2

This course provides a short beginners introduction to data visualisation using the R programming language and software environment for statistical computing and graphics. Sergio will demonstrate basic examples on how to import data, perform different types of plots and export graphics using R...

Keywords: R-programming

Resource type: course materials

Data visualisation with R and ggplot2 https://tess.elixir-europe.org/materials/data-visualisation-with-r-and-ggplot2 This course provides a short beginners introduction to data visualisation using the R programming language and software environment for statistical computing and graphics. Sergio will demonstrate basic examples on how to import data, perform different types of plots and export graphics using R standard functions and the library ggplot2. Everybody is welcome; if you would like to follow along with your laptop, please bring R and RStudio downloaded and installed before the session. R-programming PhD students Researchers
Introduction to R

This course provides a short beginners introduction to the R programming language and software environment for statistical computing and graphics. Sergio will demonstrate basic examples on how to input, explore, plot and output data in R. Everybody is welcome, if you would like to follow along...

Keywords: R-programming

Resource type: course materials

Introduction to R https://tess.elixir-europe.org/materials/introduction-to-r-327a9c78-9b0c-4133-adfc-180c02c93023 This course provides a short beginners introduction to the R programming language and software environment for statistical computing and graphics. Sergio will demonstrate basic examples on how to input, explore, plot and output data in R. Everybody is welcome, if you would like to follow along with your laptop, please bring R and RStudio downloaded and installed before the session. R-programming PhD students Researchers
Introduction to GitHub for chemists

Are you interested in learning Git and GitHub to manage your code, manuscripts or research data? This introductory workshop will be covering the following: - Background and motivation - What is Git? What is version control? What is GitHub? - How can Git and GitHub be useful for you? -...

Keywords: Git, GitHub

Resource type: course materials

Introduction to GitHub for chemists https://tess.elixir-europe.org/materials/introduction-to-github-for-chemists Are you interested in learning Git and GitHub to manage your code, manuscripts or research data? This introductory workshop will be covering the following: - Background and motivation - What is Git? What is version control? What is GitHub? - How can Git and GitHub be useful for you? - Practical session: working with Git and GitHub Clair Castle Git, GitHub Researchers PhD students Staff
Make your academic life easy with ORCID: an introduction

Many funders and publishers now require you to get an Open Researcher and Contributor ID (ORCID): an identifier that is unique to you and which comes with you wherever you go. It eliminates ambiguity about your name so you can get full credit for your work. Do you have an ORCID id? Are you sure...

Keywords: ORCID

Resource type: Tutorial

Make your academic life easy with ORCID: an introduction https://tess.elixir-europe.org/materials/make-your-academic-life-easy-with-orcid-an-introduction Many funders and publishers now require you to get an Open Researcher and Contributor ID (ORCID): an identifier that is unique to you and which comes with you wherever you go. It eliminates ambiguity about your name so you can get full credit for your work. Do you have an ORCID id? Are you sure how best to use it? Bring your own device to this practical session and register for an ORCID id, explore its features and find out more ORCID Researchers PhD students Staff
Entering and analysing nano safety data

Tutorial that covers various aspects of working with the eNanoMapper database. It discussed searching, adding, and downloading data from an eNanoMapper database.

Keywords: ontologies, enanomapper

Entering and analysing nano safety data https://tess.elixir-europe.org/materials/entering-and-analysing-nano-safety-data Tutorial that covers various aspects of working with the eNanoMapper database. It discussed searching, adding, and downloading data from an eNanoMapper database. ontologies, enanomapper Bioinformatician PhD students post-docs
Introductory image processing on biological images using python.

A jupyter notebook python practical designed to give students a introduction to opening and processing image files derived from biological samples.

Resource type: Jupyter notebook, PDF

Introductory image processing on biological images using python. https://tess.elixir-europe.org/materials/introductory-image-processing-on-biological-images-using-python A jupyter notebook python practical designed to give students a introduction to opening and processing image files derived from biological samples. Anatole Chessel Volker Baecker Bioimage Analysts Image Analysts Computer Vision scientists bioinformaticians computational scientists Biophysicists Biologists Microscopists Python for Biologists PhD students
Browsing the eNanoMapper ontology with BioPortal, AberOWL and Protégé

This tutorial explains how the eNanoMapper ontology can be browsed with three tools, of which two are online.

Keywords: nanotoxicology, Ontologies, BioPortal, AberOWL, Protégé

Resource type: Tutorial

Browsing the eNanoMapper ontology with BioPortal, AberOWL and Protégé https://tess.elixir-europe.org/materials/browsing-the-enanomapper-ontology-with-bioportal-aberowl-and-protege This tutorial explains how the eNanoMapper ontology can be browsed with three tools, of which two are online. nanotoxicology, Ontologies, BioPortal, AberOWL, Protégé PhD students post-docs
Advanced in silico drug design

Advanced in silico drug design workshop - Olomouc, 2018

Scientific topics: Drug discovery

Resource type: course materials

Advanced in silico drug design https://tess.elixir-europe.org/materials/advanced-in-silico-drug-design Advanced in silico drug design workshop - Olomouc, 2018 Drug discovery PhD students postdocs
Probabilistic programming with (R)Stan

Probabilistic models describe how the observed data was generated, and what structure the signal and noise from potentially multiple sources may have. Many classical statistical models are special cases of probabilistic models with special modeling assumptions. Probabilistic models can be...

Scientific topics: Statistics and probability

Probabilistic programming with (R)Stan https://tess.elixir-europe.org/materials/probabilistic-programming-with-r-stan Probabilistic models describe how the observed data was generated, and what structure the signal and noise from potentially multiple sources may have. Many classical statistical models are special cases of probabilistic models with special modeling assumptions. Probabilistic models can be implemented, improved, and critizised in a flexible, explicit and transparent manner, and the analysis can be supported with prior information about the data. This 1-day course provides an introduction to Bayesian/probabilistic models. We will implement standard linear models based on the rstanarm package of the R statistical programming environment and readily available example data sets. The workshop is an ideal opportunity to familiarize yourself with the basic ideas in probabilistic modeling such as prior information, likelihood, model criticism and validation, as well as some of the available tools. At the end, you should be able to implement basic probabilistic models yourself, and understand their relative advantages and pitfalls compared to their classical alternatives. Statistics and probability Life Science Researchers PhD students beginner bioinformaticians post-docs 2016-04-22
Image Ethics and Poster Design

The image ethics part handles on the theoretical aspects of image manipulation, the mistakes people make and how to avoid image fraud. VIB has guidelines for acceptable scientific image manipulations. Not all manipulations are scientifically correct. There are manipulations that fall within the...

Scientific topics: Image

Image Ethics and Poster Design https://tess.elixir-europe.org/materials/image-ethics-and-poster-design The image ethics part handles on the theoretical aspects of image manipulation, the mistakes people make and how to avoid image fraud. VIB has guidelines for acceptable scientific image manipulations. Not all manipulations are scientifically correct. There are manipulations that fall within the scope of scientific misconduct, because they result in misrepresentation of the data. Such misrepresentation makes it impossible for others to interpret the data correctly, or worse, leads to conclusions that are not correct. The second part of this course deals with poster design. Scientific posters are a resume of a piece or timespan of research on one square meter of paper. They are best compared to slides for oral presentations, not a written document. Posters can’t convey detailed evidence like scientific articles, it must visualize a message on its own. When standing a meter away from a poster you hardly feel like reading much text, especially when the author/designer stands next to it. A poster must bring that message without requiring oral explanation, but with as little text as possible. Prerequisites Participants must have experience with GIMP and Inkscape. Schedule See the TRAINING AT VIB website for a detailed schedule of this training. Training material Not available Links Not available Scientific topics Image data Target audience Life Science Researchers, PhD students, post-docs, beginner bioinformaticians   Image Life Science Researchers PhD students beginner bioinformaticians post-docs 2016-04-22
Analysis of metabolome data

This training will focus on the processing of raw data obtained via either Gas Chromatography- (GC) or Liquid Chromatography- (LC) mass spectrometry (MS). In addition, based on the comparative analysis between two sample sets (e.g. control vs treatment), the subsequent identification of...

Scientific topics: Metabolomics

Analysis of metabolome data https://tess.elixir-europe.org/materials/analysis-of-metabolome-data This training will focus on the processing of raw data obtained via either Gas Chromatography- (GC) or Liquid Chromatography- (LC) mass spectrometry (MS). In addition, based on the comparative analysis between two sample sets (e.g. control vs treatment), the subsequent identification of differential metabolites will be introduced. Afterwards, the trainee should be able to perform independently a comparative analysis of raw metabolome data and to pinpoint the well-known metabolites in the chromatogram. Metabolomics Life Science Researchers PhD students beginner bioinformaticians post-docs 2016-04-22
Advanced FlowJo training

The training will start with an introduction to FlowJo v10 but there will be enough details and features to make it worth even for advanced users. In the afternoon, advanced tools in FlowJo and new plugins (tSNE, SPADE) will be presented showing you how to work in high...

Advanced FlowJo training https://tess.elixir-europe.org/materials/advanced-flowjo-training The training will start with an introduction to FlowJo v10 but there will be enough details and features to make it worth even for advanced users. In the afternoon, advanced tools in FlowJo and new plugins (tSNE, SPADE) will be presented showing you how to work in high dimensionality. Prerequisites Participants must have experience with FlowJo. Schedule See the TRAINING AT VIB website for a detailed schedule of this training. Training material Not available Links Not available Scientific topics FlowJo Target audience Life Science Researchers, PhD students, post-docs, beginner bioinformaticians Life Science Researchers PhD students beginner bioinformaticians post-docs 2016-04-22
A tour of machine learning - classification

Machine learning has become ubiquitous in biotechnology (as in many other fields), fueled largely by the increasing availability and amount of data. Learning algorithms can figure out how to perform important tasks by generalizing examples. Typical applications are diagnoses/prognoses,...

Scientific topics: Machine learning

A tour of machine learning - classification https://tess.elixir-europe.org/materials/a-tour-of-machine-learning-classification Machine learning has become ubiquitous in biotechnology (as in many other fields), fueled largely by the increasing availability and amount of data. Learning algorithms can figure out how to perform important tasks by generalizing examples. Typical applications are diagnoses/prognoses, gene/protein annotation, drug design, image recognition, text mining and many others. However, building successful machine learning models requires a substantial amount of “black art” that is hard to find in textbooks. This course is an interactive Jupyter Notebook (Python) that will teach you how to build successful machine learning models. No background in machine learning is assumed, just a keen interest. Machine learning Life Science Researchers PhD students beginner bioinformaticians post-docs 2016-04-22
Deep Learning using a Convolutional Neural Network

This course part focuses on a recent machine learning method known as deep learning that emerged as a promising disruptive approach, allowing knowledge discovery from large datasets in an unprecedented effectiveness and efficiency. It is particularly relevant in research areas, which are not...

Scientific topics: Machine learning

Resource type: Video

Deep Learning using a Convolutional Neural Network https://tess.elixir-europe.org/materials/deep-learning-using-a-convolutional-neural-network This course part focuses on a recent machine learning method known as deep learning that emerged as a promising disruptive approach, allowing knowledge discovery from large datasets in an unprecedented effectiveness and efficiency. It is particularly relevant in research areas, which are not accessible through modelling and simulation often performed in HPC. Traditional learning, which was introduced in the 1950s and became a data-driven paradigm in the 90s, is usually based on an iterative process of feature engineering, learning, and modelling. Although successful on many tasks, the resulting models are often hard to transfer to other datasets and research areas. Machine learning PhD students Post Docs
Introduction to Machine Learning Algorithms

This course offers basics of analysing datasets with machine learning algorithms and data mining techniques in order to understand foundations of learning from large quantities of data.

Scientific topics: Machine learning

Resource type: Video

Introduction to Machine Learning Algorithms https://tess.elixir-europe.org/materials/introduction-to-machine-learning-algorithms-b1434ce7-b934-4b48-af7c-0274e2c37815 This course offers basics of analysing datasets with machine learning algorithms and data mining techniques in order to understand foundations of learning from large quantities of data. Machine learning PhD students Post Docs
Introduction to Machine Learning Algorithms

This course offers basics of analysing datasets with machine learning algorithms and data mining techniques in order to understand foundations of learning from large quantities of data.

Scientific topics: Machine learning

Resource type: PDF

Introduction to Machine Learning Algorithms https://tess.elixir-europe.org/materials/introduction-to-machine-learning-algorithms This course offers basics of analysing datasets with machine learning algorithms and data mining techniques in order to understand foundations of learning from large quantities of data. Machine learning PhD students Post Docs
Introduction to Biopython

Biopython is the best-known Python library to process biological data. This training is aimed to empower you to use Biopython to make your research more efficient. The first day of the training is to give an overview of Biopython. You are going to start with your first steps in Biopython on the...

Scientific topics: Software engineering

Introduction to Biopython https://tess.elixir-europe.org/materials/introduction-to-biopython-8ccf2441-bd7d-46f2-84f8-c2b123844a23 Biopython is the best-known Python library to process biological data. This training is aimed to empower you to use Biopython to make your research more efficient. The first day of the training is to give an overview of Biopython. You are going to start with your first steps in Biopython on the command line. Afterwards you will take a tour of the most important components: sequences, NCBI queries, BLAST, trees, and 3D structures. You will try each of these modules on practical examples. Please don't hesitate to ask questions about Python basics or particular data formats (e.g. XML or NGS data). The second day of the training is to broaden your perspective: What other features does the library have? How can you use the documentation effectively? What is Biopython not capable of? What can I do to visualize my data? Are there alternatives? If you have your own data that you would like to work on with Biopython in more detail, there is room for that. For us, the most important thing is to identify concrete Python modules and functions that help you to get your research done. Participants are encouraged to submit a description of their research topic and/or the questions they would like to answer with Biopython. Additionally, participants can bring their own data that they would like to process in Python to the training. Software engineering Life Science Researchers PhD students beginner bioinformaticians post-docs 2016-04-22 2017-10-09