Search Results for "informatics" - Page 2
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Showing 179 open source projects for "informatics"
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RoadRunner represents a state-of-the-art simulation library for SBML models. It is fast, portable and accurate. This projects hosts the library and tools using the library.
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JBioFramework
Growing suite of proteomics simulations for educational purposes
JBioFramework (JBF) is a set of two different chemical separations simulations (2D Electrophoresis and Mass Spectrometry) that are frequently used in chemistry, biochemistry and proteomics research. It is written in the Java programming language and will run on any and all systems that have the JVM installed. As we continue to develop the software over the coming months/years and attempt to quantify the success of our efforts with testing and reviews, user input is very important. Please... -
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Stochastic simulator for signaling pathways occuring in biological cells. Handles reaction-diffusion processes in 3D tetrahedral meshes. Please check our new repository: https://github.com/CNS-OIST/STEPS
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Molecular Simulation Grid
Provides high performance computing power and state of the art tools
MoSGrid focuses on the configuration and provision of Grid services for molecular simulations and annotation of the results with metadata and their provision for data mining and knowledge generation. It is based on Liferay technology togethe with gUSE. -
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Virtual Cell
Former home of the Virtual Cell platform (VCell), see http://vcell.org
This project and all source code has moved to GitHub, see https://github.com/virtualcell -
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pybrn is a Python package for the analysis of biochemical reaction networks. It provides basic model handling capabilities, import from SBML, analysis of conservation relations, steady state computation and model simulation.
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MGSyn
MGSyn - Automatic Synthesis for Industrial Automation
MGSyn (Model, Game, Synthesis) is an open-source tool which integrates game-based synthesis into model-driven development for industrial control and automation. It is served for research and educational purposes. MGSyn has been originally developed by Department of Informatics (Unit 6), TU München and fortiss GmbH and is now maintained by fortiss GmbH. The software is released under the GNU General Public License Version 3.0 (GPLv3). Please download the tutorial for step-by-step instructions on installing and using the tool. It is advised to use 32-bit version (Eclipse) associated in the "MGSyn supplementary files", as the 64-bit version will by default demand huge memory, which may lead to Java exceptions. -
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PDBManip
PDBManip is a free program for editing PDB (Protein Data Bank) Files
PDBManip is a free program for editing and manipulating PDB (Protein Data Bank) files. It has a graphical user interface and it is provided as an executable file for running on Windows® operating systems. There is a bunch of free programs on the internet for the same purpose. What discriminate between PDBManip and those programs is that PDBManip uses AngelScript language which is very similar to C/C++ language, to write scripts to do our editing tasks. I know that the text-manipulation... -
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runjags
The 'runjags' R package and standalone JAGS extension module
This package provides high-level interface utilities for MCMC models via Just Another Gibbs Sampler (JAGS), facilitating the use of parallel (or distributed) processors for multiple chains, automated control of convergence and sample length diagnostics, and evaluation of the performance of a model using drop-k validation or against simulated data. Template model specifications can be generated using a standard lme4-style formula interface to assist users less familiar with the BUGS syntax. A... -
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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. PLEASE NOTE: The Biskit source code as well as any later releases are now hosted on https://github.com/graik/biskit The sourceforge repo is only kept here for reference.
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Moose
Multiscale Neuroscience and Systems Biology Simulator
Moose is the core of a modern software platform for the simulation of neural systems ranging from subcellular components and biochemical reactions to complex models of single neurons, large networks, and systems-level processes. We have moved Github.com. This should be your source for the latest version of the code. -
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SFS_CODE (Selection on Finite Sites under COmplex Demographic Events) performs forward population genetic simulations under a general Wright-Fisher model with arbitrary demographic, selective, and mutational effects.
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Systems Biology Simulation Core Library
Accurate and efficient Java library that simulates biological models
This project has been moved to https://github.com/draeger-lab/SBSCL. -
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PPTT
Planning PhotoThermal Therapy
The project serves as a simulator of photothermal therapy that efficiently destroys tumours. -
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StochPy - Stochastistic modeling in Python - is an easy-to-use package, which provides several stochastic simulation algorithms and unique analysis techniques, which can be used for stochastic simulations of biochemical systems.
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TinkerCell is a software for synthetic biology. The visual interface allows users to design networks using various biological "parts". Models can include modules and multiple cells. Users can program new functions using C or Python. www.tinkercell.
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JGAP is a Genetic Algorithms and Genetic Programming package written in Java. It is designed to require minimum effort to use, but is also designed to be highly modular. JGAP features grid functionality and a lot of examples. Many unit tests included. Legal notice/Impressum: Klaus Meffert An der Struth 25 D-65510 Idstein sourceforge <at> klausmeffert.de
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This is a sophisticated & integrated simulation and analysis environment for dynamical systems models of physical systems (ODEs, DAEs, maps, and hybrid systems). It supports symbolic math, optimization, continuation, data analysis, biological apps...
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Muninn
A software package for estimating generalized ensemble weights in Mark
We have moved to GitHub: https://github.com/muninnorg/muninn As of July 2015 we have moved to GitHub. The SourceForge page will preserved, with the old releases. Muninn is a software package for estimating generalized ensemble weights in Markov chain Monte Carlo (MCMC) simulations. The method is full automated and makes use of the generalized multihistogram (GMH) equations for estimation the density of states [1]. The package is implemented in C++ and has a convenient interface. -
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SBSI (Systems Biology Software Infrastructure) is a suite of tools for systems biology, such as parallelized numerical algorithms, and a Java, Eclipse RCP based client for visualizing results, running simulations, and integrating SBML based plugins.
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RANGE: produce random genetic transcription networks in the NEMO language, which when compiled outputs models in Systems Biology Markup Language. Generate synthetic microarray data, or use NEMO alone to SBML-ize a network, or visualize it in cytoscape.
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Glycosylation Microviewer
An application create, simulate and adjust N-linked glycosylation.
Glycosylation Microviewer is an application that create N-linked glycosylation raction network. The model used in the application is based on two significant papers: 1.1997 Pablo Umana, James E.Bailey A Mathematical Model of N-linked Glycoform Biosynthesis. 2.2005 Frederick J.Krambeck, Michael J.Betenbaugh A Mathematical Model of N-linked Glycosylation. The application allow to simulate the network in dynamic form with various ODE solvers(Euler, Runge-Kutta etc). Genetic Algorithm... -
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Exreco
EXperimental REplicator COllider
The project is moved to GitHub : https://github.com/bekisz/exreco/ Exreco is a agent based platform for the simulation and study of the Darwinian evolutionary process. It aims to support the exploration of genetically rooted phenomena like - aging (programmed cell death) - sexual and asexual reproduction - altruism of individuals - spread of diseases The typical way of using Exreco starts by defining the behavior of your replicators ( agents that can reproduce and evolve over...