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78 materials found

Target audience: Life Science Researchers 


Introduction to Protein Structure Analysis

This training session will provide the basics of protein structure determination and how this information is stored in databases. We will explore and search in online databases containing protein structure information. With the aid of the Yasara View program we will visualize the structure....

Operations: Visualisation

Keywords: Protein structure visualisation

Resource type: e-learning

Introduction to Protein Structure Analysis https://tess.elixir-europe.org/materials/introduction-to-protein-structure-analysis This training session will provide the basics of protein structure determination and how this information is stored in databases. We will explore and search in online databases containing protein structure information. With the aid of the Yasara View program we will visualize the structure. Different hands-on exercises will allow you to compare the structure of homologues, to predict a structural model of proteins (without any structure information) and to find homologous structures. We will use online tools to quantify various interactions in the structures. ## Objectives * Get to know the data generated from protein structure determination experiments (high-resolution NMR spectroscopy, X-ray crystallography, electron microscopy, ...) and where to get it. * Display protein structure data and compare structures, through the use of Yasara. * Create high-quality graphical representations of the structures. * Calculate the effect of mutations on the stability of your protein. Janick Mathys Protein structure visualisation Life Science Researchers
Research Data Management in Life Sciences

The content provided via this link was used in the training on 9 and 10 November 2020 organized by Ghent University and Elixir Belgium and VIB in collaboration with Interreg Vlaanderen-Nederland: https://training.vib.be/all-trainings/research-data-management-life-sciences.

Scientific topics: Data management

Resource type: Presentation, Vignette, Video

Research Data Management in Life Sciences https://tess.elixir-europe.org/materials/research-data-management-in-life-sciences The content provided via this link was used in the training on 9 and 10 November 2020 organized by Ghent University and Elixir Belgium and VIB in collaboration with Interreg Vlaanderen-Nederland: https://training.vib.be/all-trainings/research-data-management-life-sciences. Data management Life Science Researchers
Eurordis Open Academy

The EURORDIS Open Academy currently encompasses the Winter School on Scientific Innovation and Translational Research, the Summer School on Medicines Research and Development, the Leadership School and the Digital School

Scientific topics: Rare diseases

Keywords: Rare Diseases & Research, Rare Diseases

Resource type: course materials, e-learning

Eurordis Open Academy https://tess.elixir-europe.org/materials/eurordis-online-trainning-modules The EURORDIS Open Academy currently encompasses the Winter School on Scientific Innovation and Translational Research, the Summer School on Medicines Research and Development, the Leadership School and the Digital School Rare diseases Rare Diseases & Research, Rare Diseases Patient Advocates Life Science Researchers 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://tess.elixir-europe.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. Microbiology Sequencing Genomics Public health and epidemiology Bioinformatics Microbiologists Public Health Professionals Life Science Researchers
BioSimulations tutorial and help

BioSimulations is a web application for sharing and re-using biomodels, simulations, and visualizations of simulations results. BioSimulations supports a wide range of modeling frameworks (e.g., kinetic, constraint-based, and logical modeling), model formats (e.g., BNGL, CellML, SBML), and...

Scientific topics: Simulation experiment, Systems biology, Computational biology

Operations: Modelling and simulation, Visualisation

Keywords: SystemsBiology, ComputationalBiology, Computational modelling, Modeling, Biomodelling, Model, Kinetic modeling, SED-ML, COMBINE

Resource type: Documentation

BioSimulations tutorial and help https://tess.elixir-europe.org/materials/biosimulations-help BioSimulations is a web application for sharing and re-using biomodels, simulations, and visualizations of simulations results. BioSimulations supports a wide range of modeling frameworks (e.g., kinetic, constraint-based, and logical modeling), model formats (e.g., BNGL, CellML, SBML), and simulation tools (e.g., COPASI, libRoadRunner/tellurium, NFSim, VCell). BioSimulations aims to help researchers discover published models that might be useful for their research and quickly try them via a simple web-based interface. Simulation experiment Systems biology Computational biology SystemsBiology, ComputationalBiology, Computational modelling, Modeling, Biomodelling, Model, Kinetic modeling, SED-ML, COMBINE Life Science Researchers Computational biologists modelers
Rare Disease Pathway and Network Analysis

The European Joint Project on Rare Diseases (EJP-RD) and the Helis Academy organized a workshop with training for pathway and network analysis.

Keywords: Pathway analysis, Biological networks, Network analysis, Pathways

Resource type: Tutorial

Rare Disease Pathway and Network Analysis https://tess.elixir-europe.org/materials/rare-disease-pathway-and-network-analysis The European Joint Project on Rare Diseases (EJP-RD) and the Helis Academy organized a workshop with training for pathway and network analysis. Pathway analysis, Biological networks, Network analysis, Pathways Life Science Researchers
Helis Academy - FAIRify your data

FAIRify your data: FAIRification & Data modelling using linked data

Keywords: linked data, Wikidata, data management

Resource type: Slides

Helis Academy - FAIRify your data https://tess.elixir-europe.org/materials/helis-academy-fairify-your-data FAIRify your data: FAIRification & Data modelling using linked data linked data, Wikidata, data management bioinformaticians software developers, bioinformaticians Life Science Researchers
Online course 'Learn to write your Data Management Plan'

Writing a Data Management Plan can be new to you. ‘Learn to write your Data Management Plan’, an online self-study course, can help you decide how to take good care of your valuable research data. During the course you are writing your DMP step by step. As a result you have written a DMP for...

Keywords: Data management plan, data management

Resource type: e-learning

Online course 'Learn to write your Data Management Plan' https://tess.elixir-europe.org/materials/online-course-learn-to-write-your-data-management-plan Writing a Data Management Plan can be new to you. ‘Learn to write your Data Management Plan’, an online self-study course, can help you decide how to take good care of your valuable research data. During the course you are writing your DMP step by step. As a result you have written a DMP for you research project. While you are training, you can write your DMP in DMPonline. You can do the whole course or just parts of it. That is all up to you. Data management plan, data management Life Science Researchers
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
Research Data Management and Sharing

This course will provide learners with an introduction to research data management and sharing. After completing this course, learners will understand the diversity of data and their management needs across the research data lifecycle, be able to identify the components of good data management...

Scientific topics: Data management

Resource type: e-learning

Research Data Management and Sharing https://tess.elixir-europe.org/materials/research-data-management-and-sharing This course will provide learners with an introduction to research data management and sharing. After completing this course, learners will understand the diversity of data and their management needs across the research data lifecycle, be able to identify the components of good data management plans, and be familiar with best practices for working with data including the organization, documentation, and storage and security of data. Learners will also understand the impetus and importance of archiving and sharing data as well as how to assess the trustworthiness of repositories. Today, an increasing number of funding agencies, journals, and other stakeholders are requiring data producers to share, archive, and plan for the management of their data. In order to respond to these requirements, researchers and information professionals will need the data management and curation knowledge and skills that support the long-term preservation, access, and reuse of data. Effectively managing data can also help optimize research outputs, increase the impact of research, and support open scientific inquiry. After completing this course, learners will be better equipped to manage data throughout the entire research data lifecycle from project planning to the end of the project when data ideally are shared and made available within a trustworthy repository. This course was developed by the Curating Research Assets and Data Using Lifecycle Education (CRADLE) Project in collaboration with EDINA at the University of Edinburgh. This course was made possible in part by the Institute of Museum and Library Services under award #RE-06-13-0052-13. The views, findings, conclusions or recommendations expressed in this Research Data Management and Sharing MOOC do not necessarily represent those of the Institute of Museum and Library Services. Data management Life Science Researchers
Research Data Management

Welcome to Research Data Management Training for Information Professionals! This course will provide you with training on the research data management (RDM) topics listed below in a biomedical context. The material presented began as an NIH-funded research study to assess material for teaching...

Scientific topics: Data management

Resource type: e-learning

Research Data Management https://tess.elixir-europe.org/materials/research-data-management Welcome to Research Data Management Training for Information Professionals! This course will provide you with training on the research data management (RDM) topics listed below in a biomedical context. The material presented began as an NIH-funded research study to assess material for teaching RDM to librarians. It is designed to prepare you to understand and subsequently teach RDM at your own institution, and offers strategies for identifying opportunities to teach RDM in your own environment. At the end of each module there is a link to a Teaching Toolkit that provides librarians with a script, slides, and evaluation materials to teach RDM at your institution. Data management Life Science Researchers
Tools for data management planning

Having a data management plan is essential if we're to make the most of our own data and share it with others. Just like planning an experiment, we should plan what we are going to do with our data and how we are going to do it to ensure that we (and others) can use and re-use the data. If you...

Scientific topics: Data management

Keywords: Data managment plan

Resource type: Video

Tools for data management planning https://tess.elixir-europe.org/materials/tools-for-data-management-planning Having a data management plan is essential if we're to make the most of our own data and share it with others. Just like planning an experiment, we should plan what we are going to do with our data and how we are going to do it to ensure that we (and others) can use and re-use the data. If you have never made a data management plan before the process may initially seem daunting, but fortunately there are many tools out there to help you think through the what, where, how, why and when of data management. In this webinar Sarah Jones from the Digital Curation Centre and Rob Hooft from ELIXIR Netherlands show us two tools - DMP online and the ELIXIR Data Stewardship Wizard - and explain how they can help you apply data management and FAIR data practices in your own research. Data management Data managment plan Life Science Researchers
What happens to your data?

This webinar focuses on what happens to your data after you submit it to a public repository and addresses the question of data ownership. Keeva and Nancy introduce the concepts of FAIR data, metadata and standards. They then show you where you can find an appropriate place to share your data...

Scientific topics: Data management

Keywords: metadata, ArrayExpress

Resource type: Video

What happens to your data? https://tess.elixir-europe.org/materials/what-happens-to-your-data This webinar focuses on what happens to your data after you submit it to a public repository and addresses the question of data ownership. Keeva and Nancy introduce the concepts of FAIR data, metadata and standards. They then show you where you can find an appropriate place to share your data and give examples of how metadata and standards are used when you submit data to Metabolights and ArrayExpress. They also answer a few frequently asked data submission-related questions. Data management metadata, ArrayExpress Life Science Researchers
Why share your data?

Presented in two parts, this webinar will explore the value of sharing your data from an institutional and researcher perspective. Our first speaker, Ewan Birney, is one of the directors of EMBL-EBI. He speaks about how the growth in data over the past decade has changed the way that we...

Scientific topics: Data management

Keywords: data sharing

Resource type: Video

Why share your data? https://tess.elixir-europe.org/materials/why-share-your-data Presented in two parts, this webinar will explore the value of sharing your data from an institutional and researcher perspective. Our first speaker, Ewan Birney, is one of the directors of EMBL-EBI. He speaks about how the growth in data over the past decade has changed the way that we approach biology and how EMBL-EBI provides some of the infrastructure to allow data sharing. He finishes up by highlighting the benefits of data sharing to the EMBL-EBI and shares his top four reasons for sharing data. Our second speaker, Elisabeth Busch, is the head of the Vertebrate Genetics and Genomics Group at the Wellcome Sanger Institute and the University of Cambridge. She tells us about her experiences in sharing her own research data, and the reasons that she felt compelled to share her data including the advantages for her own research. Elisabeth Busch Data management data sharing Life Science Researchers
A FAIRy tale

A FAKE STORY IN A TRUSTWORTHY GUIDE TO THE FAIR PRINCIPLES FOR RESEARCH DATA

Scientific topics: Data management

Keywords: FAIR

Resource type: PDF

A FAIRy tale https://tess.elixir-europe.org/materials/a-fairy-tale A FAKE STORY IN A TRUSTWORTHY GUIDE TO THE FAIR PRINCIPLES FOR RESEARCH DATA Data management FAIR Life Science Researchers
eLearning course about the importance of good research data management (RDM)

Within the framework of the Danish National Forum for Data Management, the Danish Universities have developed the eLearning course “Research Data Management”. This eLearning course in Research Data Management is brought to you by the Danish National Forum for Data Management, and is funded by...

Scientific topics: Data management

Resource type: Video

eLearning course about the importance of good research data management (RDM) https://tess.elixir-europe.org/materials/elearning-course-about-the-importance-of-good-research-data-management-rdm Within the framework of the Danish National Forum for Data Management, the Danish Universities have developed the eLearning course “Research Data Management”. This eLearning course in Research Data Management is brought to you by the Danish National Forum for Data Management, and is funded by Denmark’s Electronic Research Library (DEFF) and the Danish eInfrastructure Cooperation (DeiC). Data management Life Science Researchers
FAIRification & Data modelling

Wikidata fairification

Keywords: FAIR, linked data, ontologies, metadata

Resource type: Slides

FAIRification & Data modelling https://tess.elixir-europe.org/materials/fairification-data-modelling Wikidata fairification FAIR, linked data, ontologies, metadata Life Science Researchers bioinformaticians
Helis Academy - Persistent identifiers and their use cases

Managing increasing numbers of data objects Sharing data from different sourcesamongst researchers Data needs to be (globally) identifiable and addressable to ensure reuse of data Data citation Linking data from different source

Keywords: Referencing data and code, Findability of data and code, Identifying data and code, data management

Resource type: Slides

Helis Academy - Persistent identifiers and their use cases https://tess.elixir-europe.org/materials/persistent-identifiers-and-their-use-cases Managing increasing numbers of data objects Sharing data from different sourcesamongst researchers Data needs to be (globally) identifiable and addressable to ensure reuse of data Data citation Linking data from different source Referencing data and code, Findability of data and code, Identifying data and code, data management data stewards Life Science Researchers bioinformaticians
Introduction to FAIR data stewardship

FAIR data Stewardship: How to improve the reuse of nanosafety data

Scientific topics: Data management

Keywords: FAIR

Introduction to FAIR data stewardship https://tess.elixir-europe.org/materials/introduction-to-fair-data-stewardship FAIR data Stewardship: How to improve the reuse of nanosafety data Data management FAIR Life Science Researchers
Helis Academy - Data Management Plans, why and how?

Research Data Management The organisation of data throughout the research project everyday management of research data (storage, file naming, preservation) how will data be preserved and shared after the project is completed?

Scientific topics: Data management

Keywords: Data managment plan, Data Life Cycle

Resource type: Slides, PDF

Helis Academy - Data Management Plans, why and how? https://tess.elixir-europe.org/materials/data-management-plans-why-and-how Research Data Management The organisation of data throughout the research project everyday management of research data (storage, file naming, preservation) how will data be preserved and shared after the project is completed? Data management Data managment plan, Data Life Cycle Life Science Researchers
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://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. Biology Bioinformatics Computer science High performance computing, high-performance computing PhD students All postgraduates Life Science Researchers
PLAZA is a plant-oriented online resource for comparative, evolutionary and functional genomics

PLAZA is a plant-oriented online resource for comparative, evolutionary and functional genomics. [Materials](ftp://ftp.psb.ugent.be/pub/plaza/workshop/ELIXIR/)

Scientific topics: Plant biology, Functional genomics, Comparative genomics, Evolutionary biology, Phylogenomics, Genotype and phenotype

Operations: Annotation, Visualisation, Comparison

Keywords: plants, Plants bioinformatics, genomics, Visualisation, Annotation

Resource type: Training materials

PLAZA is a plant-oriented online resource for comparative, evolutionary and functional genomics https://tess.elixir-europe.org/materials/plaza-is-a-plant-oriented-online-resource-for-comparative-evolutionary-and-functional-genomics PLAZA is a plant-oriented online resource for comparative, evolutionary and functional genomics. [Materials](ftp://ftp.psb.ugent.be/pub/plaza/workshop/ELIXIR/) Plant biology Functional genomics Comparative genomics Evolutionary biology Phylogenomics Genotype and phenotype plants, Plants bioinformatics, genomics, Visualisation, Annotation Life Science Researchers plant researchers experimeintal biologist researchers postdoctoral researchers Research Assistants and Research Associates PhD
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
InterMine user tutorial

A tutorial for end users of InterMine

Keywords: Data querying, Data analysis, Data download, FAIR

Resource type: Tutorial

InterMine user tutorial https://tess.elixir-europe.org/materials/intermine-user-tutorial A tutorial for end users of InterMine Data querying, Data analysis, Data download, FAIR Life Science Researchers Bioinformaticians
InterMine user manual

Documentation for end users on how to search for data, run simple and complex queries, analyse results and download data from any instance of InterMine using the new user interface.

Keywords: Data querying, data visualization, Data download, FAIR

Resource type: Documentation

InterMine user manual https://tess.elixir-europe.org/materials/intermine-user-manual Documentation for end users on how to search for data, run simple and complex queries, analyse results and download data from any instance of InterMine using the new user interface. Data querying, data visualization, Data download, FAIR Life Science Researchers Bioinformaticians
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