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A toolkit in C++ and python to process both experimental and simulation data of colloidal particles. Includes among others
* a multiscale particle tracking algorithm [1] whose C++ implementation is optimised for 3D confocal data. Python implementation is more versatile (2D and 3D data).
* a Leica file reader,
* Steindhard bond orientational order calculation
* a VTK file writer
1. Leocmach, M. & Tanaka, H. A novel particle tracking method with individual particle size measurement...
Generate complex SNP models and heterogeneous datasets
Genetic Architecture Model Emulator for Testing and Evaluating Software (GAMETES) is an algorithm for the generation of complex single nucleotide polymorphism (SNP) models for simulated association studies. GAMETES is designed to generate epistatic models which we refer to as pure and strict, that constitute the worst-case in terms of detecting disease associations, since such associations may only be observed if all n-loci are included in the disease model. User friendly GAMETES software...
A unified collection of algorithms for Artificial Life. It includes evolutionary algorithms, neural networks, data mining tools, compilers, among others.
General purpose discrete event simulation (DES) framework for the Python programming language. Khronos gathers ideas from other simulation software and tries to provide a simple and poweful toolset for simulation of discrete systems.
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GISpatialNet is a Java-based tool for mapping network data (nodes and edges between them) to spatial coordinates; reformatting network and spatial data together; and calculating spatial network measures.
Install by saving to c:\ drive and typing the following in a command line:
java -jar c:\GISpatialNet-0.9b.jar
The Neural Assembly Simulation Environment (NASE) is a collection of routines written in the Interactive Data Language (IDL) by Research Systems Inc. It provides routines to simulate neural networks and to visualize those networks' behavior.