Biomedicine, supercomputers and simulations: in silico experiments and its applications in cancer research
Computational simulations of cellular processes (e.g. metabolism, gene expression, signal transduction) are critical tools to formulate mechanistic explanations that facilitate the interpretation of experimental results. However, complex biological processes such as tumour evolution span across...
Scientific topics: Molecular interactions, pathways and networks, Personalised medicine, Simulation experiment
Operations: Modelling and simulation
Keywords: HPC, Biomodelling, cell simulations
Resource type: Webinar
Biomedicine, supercomputers and simulations: in silico experiments and its applications in cancer research
https://www.youtube.com/watch?v=x1zCn0-oeQQ
http://tess.elixir-uk.org/materials/biomedicine-supercomputers-and-simulations-in-silico-experiments-and-its-applications-in-cancer-research
Computational simulations of cellular processes (e.g. metabolism, gene expression, signal transduction) are critical tools to formulate mechanistic explanations that facilitate the interpretation of experimental results. However, complex biological processes such as tumour evolution span across different time-space scales. For instance, a population-level description is needed to account for genetic heterogeneity and phenotypic variability due to environmental noise, whereas intracellular models, such as cell signalling networks need to address the effect of mutated genes. In this context, multi-scale models are ideal tools to address systems biology questions as they can consider several time-space scales by combining different approaches into a hybrid simulation.
PhysiCell is an open-source, agent-based extensible multi-scale modelling framework that allows simulating complex multicellular systems such as healthy tissues and tumours.
Miguel Ponce de León
Molecular interactions, pathways and networks
Personalised medicine
Simulation experiment
HPC, Biomodelling, cell simulations
Anyone interested in simulation of metabolic models, and in PerMedCoE tools and activities
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
https://saezlab.github.io/transcriptutorial/
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
Bartosz Bartmanski
RNA-Seq
Omics
Gene expression
Molecular interactions, pathways and networks
HPC, Signaling, RNAseq, transcriptomics
Tutorial on CellNOpt
This tutorial aims to be an introduction to
i) the preparation of the Prior knowledge network (PKN) of signaling pathways and
ii) the training of the PKN against biochemical data to create cell-specific models.
Scientific topics: Molecular interactions, pathways and networks, Simulation experiment, Personalised medicine
Operations: Modelling and simulation
Keywords: HPC, Biomodelling, Signalling
Resource type: Tutorial
Tutorial on CellNOpt
https://saezlab.github.io/CellNOptR/2_usage/
http://tess.elixir-uk.org/materials/tutorial-on-cellnopt
This tutorial aims to be an introduction to
i) the preparation of the Prior knowledge network (PKN) of signaling pathways and
ii) the training of the PKN against biochemical data to create cell-specific models.
Bartosz Bartmanski
Molecular interactions, pathways and networks
Simulation experiment
Personalised medicine
HPC, Biomodelling, Signalling
Introduction to qualitative modelling with MaBoSS
Boolean modelling uses a simple representation of biological entities as either active or inactive, and describes their relations with logical formulas. MaBoSS extends Boolean modelling by adding a notion of continuous time, with the introduction of rates of (in)activation. This enable the...
Scientific topics: Statistics and probability, Molecular interactions, pathways and networks, Personalised medicine, Simulation experiment
Operations: Modelling and simulation
Keywords: HPC, Biomodelling, cell simulations, Boolean
Resource type: Webinar
Introduction to qualitative modelling with MaBoSS
https://www.youtube.com/watch?v=zvOZBFivpCc
http://tess.elixir-uk.org/materials/introduction-to-qualitative-modelling-with-maboss
Boolean modelling uses a simple representation of biological entities as either active or inactive, and describes their relations with logical formulas. MaBoSS extends Boolean modelling by adding a notion of continuous time, with the introduction of rates of (in)activation. This enable the representation of physical time, and of processes with different time scales. MaBoSS simulate multiple stochastic trajectories, and produces trajectories of the probabilities of the system state. This webinar will introduce the concepts of boolean modelling, and MaBoSS’ continuous time boolean modelling, and will then demonstrate the use of WebMaBoSS, a web interface designed for easily simulating MaBoSS models.
Vincent Noel
Statistics and probability
Molecular interactions, pathways and networks
Personalised medicine
Simulation experiment
HPC, Biomodelling, cell simulations, Boolean
Anyone interested in simulation of metabolic models, and in PerMedCoE tools and activities
STRING exercises
Hands-on exercises using the STRING, STITCH, and DISEASES databases through their respective web interfaces.
Scientific topics: Protein interactions, Molecular interactions, pathways and networks, Bioinformatics
STRING exercises
http://jensenlab.org/training/string/
http://tess.elixir-uk.org/materials/string-exercises
Hands-on exercises using the STRING, STITCH, and DISEASES databases through their respective web interfaces.
Lars Juhl Jensen
Protein interactions
Molecular interactions, pathways and networks
Bioinformatics
Bioinformaticians
Biologists
Cytoscape stringApp exercises
Hands-on exercises using the stringApp for Cytoscape to retrieve molecular networks from the STRING and STITCH databases.
Scientific topics: Data visualisation, Proteomics, Protein interactions, Molecular interactions, pathways and networks, Bioinformatics
Cytoscape stringApp exercises
http://jensenlab.org/training/stringapp/
http://tess.elixir-uk.org/materials/cytoscape-stringapp-exercises
Hands-on exercises using the stringApp for Cytoscape to retrieve molecular networks from the STRING and STITCH databases.
Lars Juhl Jensen
Nadezhda T. Doncheva
Helen V. Cook
John "Scooter" Morris
Data visualisation
Proteomics
Protein interactions
Molecular interactions, pathways and networks
Bioinformatics
Bioinformaticians
Biologists
Pathways to networks – from in vivo to in silico and backwards
Complete course materials from the 2014 pathways to networks course.
Scientific topics: Molecular interactions, pathways and networks
Keywords: Earlham Institute
Pathways to networks – from in vivo to in silico and backwards
https://documentation.tgac.ac.uk/download/attachments/9076931/From%20Pathways%20to%20Networks.rar?version=1&modificationDate=1439825644500&api=v2
http://tess.elixir-uk.org/materials/pathways-to-networks-from-in-vivo-to-in-silico-and-backwards
Complete course materials from the 2014 pathways to networks course.
Tamás Korcsmáros
Molecular interactions, pathways and networks
Earlham Institute
EMBO 2015
Link to the GitHub repository containing all the training materials made available for the 2015 EMBO event held at TGAC
Scientific topics: Protein binding sites, Molecular interactions, pathways and networks
Keywords: Bioinformatics, Multiple sequence alignment, Network visualization, Protein protein interaction networks
EMBO 2015
https://www.mygoblet.org/training-portal/materials/embo-2015
http://tess.elixir-uk.org/materials/embo-2015
Link to the GitHub repository containing all the training materials made available for the 2015 EMBO event held at TGAC
Paul Yorke
Protein binding sites
Molecular interactions, pathways and networks
Bioinformatics, Multiple sequence alignment, Network visualization, Protein protein interaction networks
PhD students
post-docs
2015-10-08
2017-10-09