Search Results for "java project with source code"

The Sashimi project hosts the Trans-Proteomic Pipeline (TPP), a mature suite of tools for mass-spec (MS, MS/MS) based proteomics: statistical validation, quantitation, visualization, and converters from raw MS data to the open mzML/mzXML formats.

PUPIL (Program for User Package Interface and Linking), is a software environment that allows developers to link quickly and efficiently together multiple pieces of software in a fully automated multi-scale simulation. More specifically, it supports QM/MM MD simulations where the user might choose among any of the different MD engines and QM engines, which are connected to PUPIL as external programs through a tiny specific interface. One of the main advantages here is that the user can use...

This project is a rewritten of an initial project that I've called GLUE and created in 2005. I'm trying to readapt it for Python 2.7.3 and GCC 4.6.3 The library has to be build as a simple Python extension using >python setup.py install and allows to create different kind of servers, clients or hybryds (clients-servers) over (TCP/UDP) using the Ipv6 Protocol. The architecture of the code is based on brain architecture. Will put an IPv6 adress active available as soon as...

Polymer simulation utilites for bead coarse-grained models of polymers. Includes 1) lattice monte carlo. Many kinds of lattices are supported. It shouldn't be a problem to implement any new specific one (discrete models) 2) off-lattice monte carlo and molecular dynamics (continuous models) Latter one is rebuild of earlier version of simpatico (http://gemini.cems.umn.edu/research/morse/code/simpatico/home.php) project. Input and output are based on PDB file format which is better to...

*** The BRAHMS project is now hosted on Google Code, see http://code.google.com/p/brahms-md/ ***

Using the CUDA API this project modifies the AutoDock software to run in parallel on NVIDIA GPUs. Users will be able to download and compile the code and use AutoDock on CUDA capable Graphics Cards. Autodock is located at http://autodock.scripps.edu/