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MaBoSS
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MaBoSS
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Select activity Continuous time Boolean modeling for biological signaling: application of Gillespie algorithm
Continuous time Boolean modeling for biological signaling: application of Gillespie algorithm
URL
Select activity MaBoSS 2.0: an environment for stochastic Boolean modeling.
MaBoSS 2.0: an environment for stochastic Boolean modeling.
URL
Select activity Modeling signaling pathways in biology with MaBoSS: From one single cell to a dynamic population of heterogeneous interacting cells
Modeling signaling pathways in biology with MaBoSS: From one single cell to a dynamic population of heterogeneous interacting cells
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Table of contents
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1
MaBoSS
Welcome to MaBoSS course! Here you can find many u...
MaBoSS is a software for simulating signaling and ...
2
Tool repositories
MaBoSS repositories
MaBoSS on bio.tools
3
Tools platforms/specifics
MaBoSS (command-line tool): UNIX/MacOSpyMaBoSS (py...
4
Prior Knowledge needed for this tool:
Command line (mac, linux, windows) 1
Command line (mac, linux, windows) 2
Basic knowledge of Python
5
Tutorials & resources:
MaBoSS documentation and tutorials
MaBoSS tutorials
pyMaBoSS documentation
WebMaBoSS tutorials
Introduction to qualitative modelling with MaBoSS ...
Modelling biological systems can be very useful ...
Tutorials to start using WebMaBoSS for studying ...
Tutorials to start using pyMaBoSS pyMaboSS ...
6
Publications
Continuous time Boolean modeling for biological signaling: application of Gillespie algorithm
MaBoSS 2.0: an environment for stochastic Boolean modeling.
Modeling signaling pathways in biology with MaBoSS: From one single cell to a dynamic population of heterogeneous interacting cells
7
Related publications
Logic Modeling in Quantitative Systems Pharmacology
Personalization of Logical Models With Multi-Omics Data Allows Clinical Stratification of Patients
Patient-specific Boolean models of signalling networks guide personalised treatments
Personalized logical models to investigate cancer response to BRAF treatments in melanomas and colorectal cancers
Conceptual and computational framework for logical modelling of biological networks deregulated in diseases
Mathematical Modelling of Molecular Pathways Enabling Tumour Cell Invasion and Migration
Hybrid Epithelial-Mesenchymal Phenotypes Are Controlled by Microenvironmental Factors
A continuous-time stochastic Boolean model provides a quantitative description of the budding yeast cell cycle
A Clb/Cdk1-mediated regulation of Fkh2 synchronizes CLB expression in the budding yeast cell cycle
Oznaka
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