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This project implements an algorithm for segmenting protein sequences into smaller meaningful blocks. The method is based on the pure statistical approach and it uses an analogy between proteins and natural language.
This project is started out of the idea to simulate simple creatures like game of live. The goal is to build up an multi processor/host environment to simulate the building of simple live in given world environments.
Tools to perform metabolic control analyses on biochemical network models in SBML format. Allows computation of first and second order response coefficients, elasticities, first order control coefficients and first order spectral response coefficients.
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Brian is a new simulator for spiking neural networks available on almost all platforms. The motivation for this project is that a simulator should not only save the time of processors, but also the time of scientists.
This Project moved to https://sourceforge.net/projects/synbiowave/ because the name GeneWave is a registered trademark... Please do not use this project anymore.
MIVF - Medical Imaging and Visualization Factory,
is a framework for medical applications. It supplies a platform, in which image processing and 3D visualization algorithms can be employed as reusable components (functional modules or plugins).
A small simulator for Mendelian genetics, genetic drift, natural selection and random mutations, built on matplotlib and wxpython. A graph will be generated that traces the distribution of genotypes at successive generations.
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YouTestMe features automated test and answer randomizer, a secure environment for test-taking and training, a customizable reporting system, and much more.
go2Sim measures semantic similarity between genes annotated with Gene Ontology terms. Resnik and Wang methods supported. A new improvement of the methods is currently in development, it will be available as soon as the results have been published.
"Blue Planet" is a research project simulating the behaviour and darwinian evolution of unicellular lifeforms, each controlled by its own genetic program. Moreover, "Blue Planet Inhabitants" are suited for swarm intelligence and swarm research.
A lightweight, browsing-based, 100% Python, federated data integration framework. Users may create custom schemas for disparate sources, query and expand results across sources to find related data; for use in fields such as bioinformatics and datamining
A Python library bringing together utilities I've written over the years for work in bioinformatics and biostatistics, which should be generally applicable outside these fields as well. Focuses on string processing, DBI, and math.
A web-based repository of plasmids and biobricks (see http://parts.mit.edu) plus related utility programs that support synthetic biology research. Note: This project is not updated any longer.
A completely re-written and much better version of this web server can be found here:
http://www.rotmic.org
pyTray is protein crystallization management software. It allows the user to design screens, helps in setting up, and manages the results obtained form the screen.
DIY Genomics is an open source bioinformatics consortium intended to bring a collection of tools and libraries into the hands of small scale genomics labs for the process of sequence assembly and annotation. Projects include DIYA, MGAP, CRISPR, and DIYGV
This program has been written having in mind to create an useful tool to evaluate the Motor Evoked Potentials (MEPs) generated by Transcranial Magnetic Stimulation (TMS) and recorded with the program "Signal" (version 2.xx).
pygr is a bioinformatics toolkit for sequence analysis and comparative genomics. pygr is highly scalable (e.g. one can easily query multi-genome alignments) and easy to use. Please see our new project page and wiki at http://code.google.com/p/pygr.
PepT-IDE is a protein analysis tool that is used for multiple sequence alignment, 3D visualization and displaying protein contact maps for protein sequences and structures. It also has feedback communication between the different views of the protein.