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
https://run.biosimulations.org/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.
Jonathan Karr
Ion Moraru
Bilal Shaikh
Gnaneswara Marupilla
Simulation experiment
Computational biology
Systems biology
biosimulators, COMBINE, OMEX, SED-ML, Modeling, dynamic simulations, SBML, BNGL
modelers
Metagenomics Bioinformatics
Metagenomics, the genomic analysis of microbial communities from samples like water and soil, involves high throughput sequencing of the microbial DNA, collecting, archiving and resharing the genomic data for taxonomic and functional analysis.
Scientific topics: Metagenomics
Keywords: Metagenomics, MGnify, Sequence Analysis, Microbiology
Resource type: Tutorial
Metagenomics Bioinformatics
https://www.ebi.ac.uk/training/online/course/metagenomics-bioinformatics
http://tess.elixir-uk.org/materials/metagenomics-bioinformatics
Metagenomics, the genomic analysis of microbial communities from samples like water and soil, involves high throughput sequencing of the microbial DNA, collecting, archiving and resharing the genomic data for taxonomic and functional analysis.
Alex Mitchell
Varsha Kale
Rob Finn
Guillermo Rangel Pineros
Rebecca Campos
Alex Mitchell
Varsha Kale
Rob Finn
Guillermo Rangel Pineros
Rebecca Campos
Metagenomics
Metagenomics, MGnify, Sequence Analysis, Microbiology
Life Scientists
EBI Metagenomics: analysing and exploring metagenomics data
EBI metagenomics is a freely available hub for the analysis and exploration of metagenomic, metatranscriptomic, amplicon and assembly datasets. The resource provides rich functional and taxonomic analyses of user-submitted sequences, as well as analysis of publicly available metagenomic datasets...
Scientific topics: Metagenomics
Keywords: Metagenomics, MGnify, Sequence Analysis, Microbiology
Resource type: Webinar
EBI Metagenomics: analysing and exploring metagenomics data
https://www.ebi.ac.uk/training/online/course/ebi-metagenomics-analysing-and-exploring-metagenomics-data
http://tess.elixir-uk.org/materials/ebi-metagenomics-analysing-and-exploring-metagenomics-data
EBI metagenomics is a freely available hub for the analysis and exploration of metagenomic, metatranscriptomic, amplicon and assembly datasets. The resource provides rich functional and taxonomic analyses of user-submitted sequences, as well as analysis of publicly available metagenomic datasets held within the European Nucleotide Archive.
Alex Mitchell
Alex Mitchell
Metagenomics
Metagenomics, MGnify, Sequence Analysis, Microbiology
Life Scientists
Analysing and visualising microbiome-derived datasets using the MGnify Web API
MGnify (formerly EBI Metagenomics) is a freely available hub for the analysis and exploration of metagenomic, metatranscriptomic, amplicon and assembly data. The resource provides rich functional and taxonomic analyses of user-submitted sequences, as well as analysis of publicly available...
Analysing and visualising microbiome-derived datasets using the MGnify Web API
https://www.ebi.ac.uk/training/online/course/analysing-and-visualising-microbiome-derived-datasets-using-mgnify-web-api
http://tess.elixir-uk.org/materials/analysing-and-visualising-microbiome-derived-datasets-using-the-mgnify-web-api
MGnify (formerly EBI Metagenomics) is a freely available hub for the analysis and exploration of metagenomic, metatranscriptomic, amplicon and assembly data. The resource provides rich functional and taxonomic analyses of user-submitted sequences, as well as analysis of publicly available metagenomic datasets drawn from the European Nucleotide Archive (ENA).