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8 materials found

Operations: RNA-Seq analysis  or Visualisation 

Expanding the SPHN RDF Schema

This training module will provide researchers with an introduction on how to expand the SPHN RDF Schema using an ontology editor.

Scientific topics: Ontology and terminology, Medical informatics, FAIR data, Data management, Computer science

Operations: Editing, Ontology visualisation, Visualisation, Data handling

Keywords: Clinical data, Data semantics, FAIR, Ontology editing, Protegé, RDF, OWL

Resource type: Video, Training materials, E-learning

Expanding the SPHN RDF Schema http://tess.elixir-uk.org/materials/expanding-the-sphn-rdf-schema This training module will provide researchers with an introduction on how to expand the SPHN RDF Schema using an ontology editor. Kristin Gnodke Sabine Österle Ontology and terminology Medical informatics FAIR data Data management Computer science Clinical data, Data semantics, FAIR, Ontology editing, Protegé, RDF, OWL Research Scientists Data Managers Biomedical Researchers Bioinformaticians Data Scientists
RDF Schema and Data Visualization

This training module will provide researchers with an introduction on how to explore and visualize the SPHN ontology and mock data.

Scientific topics: Data visualisation, Medical informatics, FAIR data, Data management, Computer science

Operations: Ontology visualisation, Visualisation, Data retrieval, Data handling, Query and retrieval

Keywords: Clinical data, SPARQL, Data visualization, RDF, Knowledge graph, GraphDB, Mock data

Resource type: Video, Training materials, Mock data, E-learning

RDF Schema and Data Visualization http://tess.elixir-uk.org/materials/rdf-schema-and-data-visualization This training module will provide researchers with an introduction on how to explore and visualize the SPHN ontology and mock data. Vasundra Touré Sabine Österle Data visualisation Medical informatics FAIR data Data management Computer science Clinical data, SPARQL, Data visualization, RDF, Knowledge graph, GraphDB, Mock data Research Scientists Data Managers Biomedical Researchers Bioinformaticians Data Scientists
Introduction to Workflows with Common Workflow Language

Introduction to workflow thinking for novices, using the Common Workflow Language

Scientific topics: Workflows

Operations: RNA-Seq analysis

Keywords: cwl, commonwl, sciworkflows, workflows

Resource type: Carpentries style curriculum

Introduction to Workflows with Common Workflow Language http://tess.elixir-uk.org/materials/introduction-to-workflows-with-common-workflow-language Introduction to workflow thinking for novices, using the Common Workflow Language Stian Soiland-Reyes Toby Hodges Sehrish Kanwal Pedro L Fernandes Workflows cwl, commonwl, sciworkflows, workflows esearchers and research software engineers who would like to begin automating their analyses in workflows.
Tutorial on CARNIVAL

This is a tutorial to guide the analysis of RNAseq dataset using footprint based tools such as DOROTHEA, PROGENY and CARNIVAL

Scientific topics: RNA-Seq, Omics, Gene expression, Molecular interactions, pathways and networks

Operations: RNA-Seq analysis, Network analysis

Keywords: HPC, Signaling, RNAseq, transcriptomics

Resource type: Tutorial

Tutorial on CARNIVAL http://tess.elixir-uk.org/materials/tutorial-on-carnival This is a tutorial to guide the analysis of RNAseq dataset using footprint based tools such as DOROTHEA, PROGENY and CARNIVAL RNA-Seq Omics Gene expression Molecular interactions, pathways and networks HPC, Signaling, RNAseq, transcriptomics
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 http://tess.elixir-uk.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
DE-Sim examples, tutorials, and documentation

*DE-Sim* is an open-source, Python-based object-oriented discrete-event simulation (DES) tool that makes it easy to use large, heterogeneous datasets and high-level data science tools such as [NumPy](https://numpy.org/), [Scipy](https://scipy.org/scipylib/index.html),...

Scientific topics: Computational biology, Mathematics, Computer science, Simulation experiment

Operations: Visualisation, Modelling and simulation

Keywords: data-driven modeling, Computational modelling, discrete-event simulation, DES, object-oriented programming, Python, data visualization, Data Science

Resource type: examples, Tutorial, Jupyter notebook, API reference

DE-Sim examples, tutorials, and documentation http://tess.elixir-uk.org/materials/de-sim-examples-tutorials-and-documentation *DE-Sim* is an open-source, Python-based object-oriented discrete-event simulation (DES) tool that makes it easy to use large, heterogeneous datasets and high-level data science tools such as [NumPy](https://numpy.org/), [Scipy](https://scipy.org/scipylib/index.html), [pandas](https://pandas.pydata.org/), and [SQLAlchemy](https://www.sqlalchemy.org/) to build and simulate complex computational models. Similar to [Simula](http://www.simula67.info/), *DE-Sim* models are implemented by defining logical process objects which read the values of a set of shared variables and schedule events to modify their values at discrete instants in time. This website provides examples, tutorials, and documentation for *DE-Sim*. Computational biology Mathematics Computer science Simulation experiment data-driven modeling, Computational modelling, discrete-event simulation, DES, object-oriented programming, Python, data visualization, Data Science computational scientists Computational biologists bioinformaticians software engineers programmers
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 http://tess.elixir-uk.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
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 http://tess.elixir-uk.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