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9 materials found

Operations: Visualisation 


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
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 https://tess.elixir-europe.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 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
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
Visualization.

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Operations: Visualisation

Visualization. https://tess.elixir-europe.org/materials/visualization-99cbbeae-48e4-40f5-bd49-50573bf35b1a Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images.
Working with Annotations

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Operations: Visualisation

Working with Annotations https://tess.elixir-europe.org/materials/working-with-annotations Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images.
Visualisation in Statistical Genomics

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Operations: Visualisation

Visualisation in Statistical Genomics https://tess.elixir-europe.org/materials/visualisation-in-statistical-genomics Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images.
Visualization

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Operations: Visualisation

Visualization https://tess.elixir-europe.org/materials/visualization Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images.
Lab: Interactive data visualization with Shiny

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Operations: Visualisation

Lab: Interactive data visualization with Shiny https://tess.elixir-europe.org/materials/lab-interactive-data-visualization-with-shiny Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images.