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Licence: CC0 1.0  or MIT License 

runBioSimulations tutorial and help

runBioSimulations is a web application for executing a broad range of modeling studies and visualizing their results. runBioSimulations uses BioSimulators to supports a broad range of modeling frameworks (e.g., logical, constraint-based, kinetic), simulation algorithms (e.g., CVODE, FBA, SSA),...

Scientific topics: Simulation experiment, Computational biology, Systems biology

Operations: Modelling and simulation

Keywords: biosimulators, COMBINE, OMEX, SED-ML, Modeling, dynamic simulations, SBML, BNGL

Resource type: Tutorial, Documentation

runBioSimulations tutorial and help http://tess.elixir-uk.org/materials/runbiosimulations-tutorial-and-help runBioSimulations is a web application for executing a broad range of modeling studies and visualizing their results. runBioSimulations uses BioSimulators to supports a broad range of modeling frameworks (e.g., logical, constraint-based, kinetic), simulation algorithms (e.g., CVODE, FBA, SSA), and modeling formats (e.g., BNGL, SBML). runBioSimulations also provides a REST API for programmatic access to the same simulation capabilities. The runBioSimulations tutorial and help describes how to use this web application and web service to execute simulations and visualize their results. This includes instructions on how to create COMBINE/OMEX archives of modeling projects. Ion Moraru Bilal Shaikh Gnaneswara Marupilla Simulation experiment Computational biology Systems biology biosimulators, COMBINE, OMEX, SED-ML, Modeling, dynamic simulations, SBML, BNGL modelers
BioSimulators tutorial and help

BioSimulators is a registry of containerized biosimulation tools that provide consistent command-line interfaces. The BioSimulations web application helps investigators browse this registry to find simulation tools that have the capabilities (supported modeling frameworks, simulation algorithms,...

Scientific topics: Simulation experiment, Computational biology, Systems biology

Operations: Modelling and simulation

Keywords: Modeling, biomodel, dynamic simulations, COMBINE, OMEX, SED-ML, SBML, BNGL

Resource type: Tutorial, Documentation

BioSimulators tutorial and help http://tess.elixir-uk.org/materials/biosimulators-help BioSimulators is a registry of containerized biosimulation tools that provide consistent command-line interfaces. The BioSimulations web application helps investigators browse this registry to find simulation tools that have the capabilities (supported modeling frameworks, simulation algorithms, and modeling formats) needed for specific modeling projects. The BioSimulators help describes how to use this registry: - How to find a containerized simulation tools that are capable of executing a modeling study. - How to use containerized simulation tools to execute modeling studies. - How to containerize a simulation tool and submit it to the BioSimulators registry. Ion Moraru Bilal Shaikh Simulation experiment Computational biology Systems biology Modeling, biomodel, dynamic simulations, COMBINE, OMEX, SED-ML, SBML, BNGL modelers Computational biologists software developers, bioinformaticians
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
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 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. 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
Introduction to GitHub

The aim for today is to learn the basics of GitHub so that you can use it for your own projects. - Background - What is version control? What is Git? What is GitHub? - How can you use GitHub? How can it be useful for your work? - Practical session: working with GitHub

Keywords: GitHub, Reproducibility

Resource type: Training materials

Introduction to GitHub http://tess.elixir-uk.org/materials/introduction-to-github The aim for today is to learn the basics of GitHub so that you can use it for your own projects. - Background - What is version control? What is Git? What is GitHub? - How can you use GitHub? How can it be useful for your work? - Practical session: working with GitHub Gabriella Rustici GitHub, Reproducibility Senior Managers
Beginners introduction to Git and GitHub

__Morning session__ (Sergio and Mark) https://tinyurl.com/git-intro-zoology: - Background and motivation - What is version control? What is Git? What is GitHub? - How can you use Git and GitHub? How can they be useful for you? - Practical session: working with Git and GitHub __Afternoon...

Keywords: Git, GitHub, control version, Reproducibility

Resource type: Training materials

Beginners introduction to Git and GitHub http://tess.elixir-uk.org/materials/beginners-introduction-to-git-and-github __Morning session__ (Sergio and Mark) https://tinyurl.com/git-intro-zoology: - Background and motivation - What is version control? What is Git? What is GitHub? - How can you use Git and GitHub? How can they be useful for you? - Practical session: working with Git and GitHub __Afternoon session__ (Mark and Anne) https://tinyurl.com/git-course: markdown, pages and wikis; creating good README files; issue tracking; sofware licenses Mark Fernandes pajanne Git, GitHub, control version, Reproducibility 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 http://tess.elixir-uk.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
Open Science MOOC: Module 5, Open Research Software and Open Source

Software and technology underpin modern science. There is an increasing demand for more sophisticated open source software, matched by an increasing willingness for researchers to openly collaborate on new tools. These developments come with a specific ethical, legal and economic challenges that...

Keywords: open source

Open Science MOOC: Module 5, Open Research Software and Open Source http://tess.elixir-uk.org/materials/open-science-mooc-module-5-open-research-software-and-open-source Software and technology underpin modern science. There is an increasing demand for more sophisticated open source software, matched by an increasing willingness for researchers to openly collaborate on new tools. These developments come with a specific ethical, legal and economic challenges that impact upon research workflows. This module will introduce the necessary tools required for transforming software into something that can be openly accessed and re-used by others. open source
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 http://tess.elixir-uk.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 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 http://tess.elixir-uk.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 http://tess.elixir-uk.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
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. http://tess.elixir-uk.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