Register training material
13 materials found

Authors: Malachi Griffith  or Jonathan Karr 


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
Informatics for RNA-Seq Analysis 2018 Module 4-Reference Free Alignment

Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.

Informatics for RNA-Seq Analysis 2018 Module 4-Reference Free Alignment http://tess.elixir-uk.org/materials/informatics-for-rna-seq-analysis-2018-module-4-reference-free-alignment Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages. Researchers Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists Graduate Students
Informatics for RNA-Seq Analysis 2018 Module 1-Introduction to RNA Sequencing Analysis

Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.

Informatics for RNA-Seq Analysis 2018 Module 1-Introduction to RNA Sequencing Analysis http://tess.elixir-uk.org/materials/informatics-for-rna-seq-analysis-2018-module-1-introduction-to-rna-sequencing-analysis Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages. Researchers Biologists, Genomicists, Computer Scientists Graduate students Post-Doctoral Fellows
Informatics for RNA-Seq Analysis 2017 Module 5-Isoform Discovery and Alternative Expression

Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.

Informatics for RNA-Seq Analysis 2017 Module 5-Isoform Discovery and Alternative Expression http://tess.elixir-uk.org/materials/informatics-for-rna-seq-analysis-2017-module-5-isoform-discovery-and-alternative-expression Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
Informatics for RNA-Seq Analysis 2017 Module 4-Reference Free Alignment

Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.

Informatics for RNA-Seq Analysis 2017 Module 4-Reference Free Alignment http://tess.elixir-uk.org/materials/informatics-for-rna-seq-analysis-2017-module-4-reference-free-alignment Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages. Researchers Graduate Students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
Informatics for RNA-Seq Analysis 2017 Module 1-Introduction to RNA Sequencing Analysis

Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.

Informatics for RNA-Seq Analysis 2017 Module 1-Introduction to RNA Sequencing Analysis http://tess.elixir-uk.org/materials/informatics-for-rna-seq-analysis-2017-module-1-introduction-to-rna-sequencing-analysis Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages. Researchers Graduate students Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists
High-Throughput Biology 2017 Module 11-Isoform Discovery and Alternative Expression

Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome.

High-Throughput Biology 2017 Module 11-Isoform Discovery and Alternative Expression http://tess.elixir-uk.org/materials/high-throughput-biology-2017-module-11-isoform-discovery-and-alternative-expression Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome. Graduate Students Researchers Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
High-Throughput Biology 2017 Module 10-Reference Free Alignment

Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome.

High-Throughput Biology 2017 Module 10-Reference Free Alignment http://tess.elixir-uk.org/materials/high-throughput-biology-2017-module-10-reference-free-alignment Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome. Graduate students Researchers Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
High-Throughput Biology 2017 Module 7-Introduction to RNA Sequencing Analysis

Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome.

High-Throughput Biology 2017 Module 7-Introduction to RNA Sequencing Analysis http://tess.elixir-uk.org/materials/high-throughput-biology-2017-module-7-introduction-to-rna-sequencing-analysis Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome. Graduate students Researchers Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows