Search Results for "biology simulator"
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Showing 9 open source projects for "biology simulator"
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Run frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
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Telepresence allows Kubernetes application developers to ship code to production faster and more safely, using the local tools they are comfortable with. Combined with Ambassador Cloud, Telepresence is the #1 tools for Kubernetes development teams.
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ARES
Antibiotic Resistance Evolution Simulator
ARES (Antibiotic Resistance Evolution Simulator) is a membrane computing-based model, able to simulate complex biological landscapes. It uses a nested membrane-surroundings entitites scheme formatted in a XML file. The created scenarios emulate entities as: i) Resistance genes, able to detoxify antibiotics. These genes can be located in the plasmid, in conjugative elements or in the chromosome; ii) plasmids and conjugative elements transferring genes between bacterial cells; iii) bacterial... -
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DEVS-Suite Simulator
Component, CA, and CCA models; superdense time, DB repo, testing, etc.
Integrated component-based and cellular automata (CA) Parallel DEVS simulator: https://acims.asu.edu/devs-suite/ OFFERS: 1) synchronized execution & animation, 2) run-time linear/superdense I/O & state trajectories, 3) Action Level Real-Time modeling & simulation, 4) model checking, 5) ABM, 6) CA & composable CA playback, 7) KIB interaction modeling, 8) hierarchical model libraries, 9) Black-Box testing & debugging, 10) PostgreSQL repository, 11) FMU (OpenModelica), 12) OSATE (AADL... -
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Pysces
PySCeS is the Python Simulator of Cellular Systems
PySCeS is the Python Simulator of Cellular Systems. For a network of coupled reactions it does a stoichiometric matrix analysis, calculates the time course and steady state, and does a complete control analysis. -
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SIGVerse
Simulator for Human-Robot Interaction, used in the RoboCup@Home
Understanding the mechanism of intelligence in human beings and animals is one of the most important approaches to developing intelligent robot systems. Since the mechanisms of such real-life intelligent systems are so complex, such as the physical interactions between agents and their environment and the social interactions between agents, comprehension and knowledge in many peripheral fields such as cognitive science, developmental psychology, brain science, evolutionary biology, and robotics... -
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Moose
Multiscale Neuroscience and Systems Biology Simulator
Moose is the core of a modern software platform for the simulation of neural systems ranging from subcellular components and biochemical reactions to complex models of single neurons, large networks, and systems-level processes. We have moved Github.com. This should be your source for the latest version of the code. -
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MDL2SBML
Convert MCell input files into SBML
MCell is a Monte-Carlo simulator for spatial stochastic modelling of protein interactions. It requires a specific input file format called Model Description Language (MDL). MDL2SBML is a converter that translates MDL into the more widely recognised Systems Biology Markup Language (SBML) in order to facilitate model sharing and analysis with a wider range of tools. MDL2SBML translates molecule definitions, reactions and variables from MDL to SBML. MCell concepts that have (as of yet... -
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Synthetic Biology Software Suite (SynBioSS) is composed of a wiki for biochemical kinetic constants, a graphical interface for simulating synthetic biological pathways, and a simulator that runs on either a desktop or supercomputer.
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URBAN – a Unified Rule-Based and Allosteric Network compiler and simulator for quantitative modelling in systems and synthetic biology
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Modesto is used for simulations of biological models which can be created at run-time or by using a derivative of SBML (Systems Biology Markup Language). This simulator employs a hybrid method for combining continuous and discrete techniques.
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Virtuous gives you the nonprofit CRM, fundraising, volunteer, and marketing tools you need to create more responsive donor experiences and grow giving.
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