Free Software Foundation!

• genetics
• health-and-medicine

Bioinformatics Template Library This library focuses on the data structures and algorithms used in bioinformatics and molecular modelling, following closely the approach of the Standard Template Library (STL) to implement efficient generic programming modules using compile time mechanisms. Although the BTL was designed with biomolecular applications in mind it contains classes of more general utility: for instance, the Matrix class could be used for matrix algebra in many contexts.

Biskit Biskit is a python library for structural bioinformatics research. It simplifies the analysis of macromolecular structures, protein complexes, and molecular dynamics trajectories and offers a platform for the rapid integration of external programs.

Blossoc Blossoc is a linkage disequilibrium association mapping tool that attempts to build (perfect) genealogies for each site in the input, score these according to non-random clustering of affected individuals, and judge high-scoring areas as likely candidates for containing disease affecting variation. Building the local genealogy trees is based on a number of heuristics that are not guaranteed to build true trees, but have the advantage over more sophisticated methods of being extremely fast. Blossoc can therefore handle much larger data sets than more sophisticated tools, but at the cost of sacrificing some accuracy.

CAGE A generic and fairly complete cellular automata simulation engine. CAGE is a fairy generic and complete cellular automaton simulation engine in Python. It supports both 1D and 2D automata, a variety of prepackaged rules, and the concept of "agents" which can move about independently on the map for implementing agent behavior. CAGE comes with numerous examples of fully-functional CA systems, including Conway's Game of Life, Langton's self-reproducing automaton, Langton's "vants," and 1D automata rule explorers. It also comes with simple displayers (including a curses interface for 2D automata). Also included is a unique implementation of a finite state machine (ant.py).

CT Sim Computed Tomography is the technique of estimating the interior of objects from the measurements of radiation projected through the object. That radiation can be transmitted through the object such as in X-ray computed tomography or emitted from internal radiation sources as in nuclear medicine scans. CTSim simulates the transmission of X-rays through phantom objects. These X-ray data are called projections; CTSim reconstructs the original phantom image from the projections using a variety of algorithms. The program also has a wide array of image analysis and image processing functions.

CoaSim 'CoaSim' is a tool for simulating the coalescent process with recombination and gene conversion under the assumption of exponential population growth. It constructs the ancestral recombination graph for a given number of individuals and uses this to simulate samples of SNP and micro-satellite haplotypes/genotypes. The generated sample can afterwards be separated in cases and controls, depending on states of selected individual markers. The tool can accordingly also be used to construct cases and control data sets for association studies.

CoaSim-gui 'CoaSim-gui' is a graphical use interface for the coalescence process simulator CoaSIm.

CvEyeTracker 'cvEyeTracker' is a toolkit for low-cost real-time eye tracking. It is intended to provide a hardware design and a set of software tools useful for the analysis of eye movement data collection using inexpensive, off-the-shelf hardware. Available tools include algorithms to measure eye movements from digital videos, techniques to calibrate the eye tracking system, and example software to facilitate real-time eye-tracking application development.

E-CELL Simulation Environment E-Cell System is an object-oriented software suite for modelling, simulation, and analysis of large scale complex systems such as biological cells. It allows many components, driven by multiple algorithms with different timescales, to coexist. The core library is written in C++ with a Python binding, and frontend software uses Python.

FastDNAml 'fastDNAml' estimates maximum likelihood phylogenetic trees from nucleotide sequences. It is derived from Joseph Felsenstein's version 3.3 DNAML (part of his PHYLIP package). 'fastDNAml' tries to solve the same problem as DNAML, but to do so faster and using less memory, so that larger trees and/or more bootstrap replicates become tractable. Much of fastDNAml is merely a recoding of the PHYLIP 3.3 DNAML program from PASCAL to C.