NPMP 2017/18 - BIO seminar D master-slave flip-flop
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Updated
Jan 18, 2018 - Java
Biological Simulation is the use of computational and mathematical models to simulate biological systems. The underlying complexity of biology necessitates the development of efficient algorithms, knowledge representation methods, visualization techniques, data formats, and computational tools to observe the emergent behaviors of biological systems. The broad scope and variety of time-scales and space-scales requires development of community-driven standards and common formats to enable interoperability and reproducibility of models.
NPMP 2017/18 - BIO seminar D master-slave flip-flop
random walking mice
Model, configuration, data, analysis, and figures for Resource Abundance and the Critical Transition to Cooperation
Generator of chromosome sets based on the scientific concepts of human embryonic organism formation
Simple console aplication for simulating grownig of populations in biology
A simple python web application modeling certain kind of gene transformations
A simulation of biological evolution using selection by traits caused by environmental factors. Shows an example of Hardy-Weinberg equilibrium. For AP Bio extra credit!
Modelling and Optimization of Models with a focus on Healthcare and Biological Networks
The codes of Drylab Team, iGEM ITB 2017 to support the wetlab.
Supplementary information/data for Pritchard & Birch (2014) doi:10.1111/mpp.12210
Vim syntax for Kappa executable knowledge simulator
PhefluxTools is a comprehensive Python library that offers a wide range of functions and utilities to simplify common computational tasks. It provides a collection of powerful tools for data manipulation, file handling, statistical analysis, visualization, and integration with computational biology.
Simulation of the navigation-by-scene-familiarity mechanism with a local sensor
Random trees created using a 3D sprite-based L-system
The aim is to create an interactive simulation that can be used by a biologist who has little to no background in computation/programming to simulate all combinations of evolutionary factors while allowing her to control as many parameters as practical.
Partern formation in discrete time & space model