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The Generic Genetic Studies Database (GGSD) is a web-based, relational database driven data management software package for the management of large scale genetic studies.
Import width files into MySQL, manipulate and export back to fixed width. Useful for health data analysis or *whatever*. Includes Thompson Reuters Care Discovery 3000 data file definition. Windows, OS X, Linux Requires PHP 5.3.x and MySQL 5.1.x
Representation of events graphically on screen using SDL. External applications send a simple message and visual event renders animation on screen depicting the event taking place.
Flow Investigation using N-Dimensions (FIND) is a program designed for analysis and visualization of Flow Cytometry data. FIND focuses specifically on automated population discovery (clustering) methods. The project targets both users and developers.
VR Juggler is a virtual platform for virtual reality application development created at the Virtual Reality Applications Center at Iowa State University. Applications developed in VR Juggler can transparently move between a wide range of VR systems.
Its my college project for Natural Disaster Response Unit Management Information System Based On Java Standard Edition (J2SE) using IDE Netbeans and DBMS MySQL. Supported language in the system is Bahasa Indonesia.
Cca-forum unifies the Common Component Architecture tools and tutorial. It includes the CCA specifications, the Ccaffeine framework for HPC, and related tools. These support multilanguage scientific and parallel computing.
QuickFlash is a C++-based analysis library for data files generated by the Flash hydrodynamics code. It provides high-performance access to large datasets in low memory situations and other restrictive environments.
Gaphor is a UML modeling environment written in Python. Gaphor is small and very extensible.
The repository is located at http://github.com/gaphor/gaphor.
Apatar is an open source Extract, Transform, and Load (ETL) project. Modular architecture delivers 1. Visual job designer/mapping 2. Connectivity to all major data sources 3. Flexible Deployment Options (GUI, or server engine with JVM, or embedded).
PheMaDB is a web-based data management system to store and analyze OmniLog Phenotype Microarray data. The manuscript can be accessed here: http://www.biomedcentral.com/1471-2105/12/109. Chang WE et al. BMC Bioinformatics. 2011 Apr 20;12(1):109.
The system searches synonyms (and related words) in Wikipedia. WikIDF generates index database of Wikipedia (for Russian, English, and German). The continuation of this project is "wikokit" at code.google.com
VISPA is a novel development environment for high energy physics analyses, based on a combination of graphical and textual steering. The main goal of VISPA is to support users in prototyping, performing, and verifying a data analysis of any complexity.
pyastrolib is a python library providing professional astronomers a robust set of tools for astronomical data analysis. This project will provide all the functionality as NASA's IDL Astronomy User's Library in addition to other planned features.
Open Source Particle Image Velocimetry and PIV Analysis
OpenPIV is an initiative of scientists to develop a software, algorithms and methods for the state-of-the-art experimental tool of Particle Image Velocimetry (PIV) which are free, open source, and easy to operate.
Gnupylot is a GUI for gnuplot (the widely used multi-OS plotting utility). It's written in Python using PyQt4 libraries. With Gnupylot you can save your plots (even the datasets). It's still in Alpha stage.
PyOSG is a python wrapper for the OpenSceneGraph. Version number corresponds to the version of OpenSceneGraph that PyOSG should work with (e.g. PyOSG 2.8 should work with OpenSceneGraph 2.8.x). Still in early stages, so email mday299 if any problems!
Python software package for 3D tracking of leg joints in walking insects. Published as Bender et al., PLoS ONE, 2010 (http://dx.doi.org/10.1371/journal.pone.0013617)
DbViz produces plots of data contained in MySQL databases. Data can be viewed by looking at line graphs, xy scatter plots, and bar graphs. This greatly simplifies data analysis.