Search Results for "gnu on windows" - Page 39
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Showing 2844 open source projects for "gnu on windows"
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The Celera Genome Browser, developed at Celera Genomics as part of Celera's sequencing and annotation of the human genome, and released as open source in 2006.
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PileLine (Pileup pipeLine) is a toolkit for efficient handling of genomic position (GP) files, produced by next-generation sequencing experiments. It is designed to be memory efficient by performing on-disk operations over sorted GP files.
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GUI to configurate and start XPlanet easily. Adds a downloader to XPlanet to load clouds, images and marker files from the internet. Generates cmd (windows) and configuration files for XPlanet and the downloader. Hides in the System Tray.
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Syspect is a tool to specify a system using UML2 diagramms and translate them into a CSP-OZ-DC specification for formal verification.
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jLlama is a desktop application to monitor servers over SSH. Any figure retrieved from the command line can be polled and graphed in real time. Out of the box, jLlama can graph CPU and Memory usage for Linux and Solaris servers.
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This is a project for a tool to get more precise deontological diagnostics through x-ray images. Final Project in Tecnology in Systems Analysis and Development by Alexandre A. Severino, Gustavo T. Souza, Isabela M. Gesser and Juliano A. Felipe.
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This is a program that lets you graph numbers into a pie chart!
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An educational tool for designing and simulating digital logic circuits, featuring a simple-to-learn interface, hierarchical circuits, wire bundles, and a large component library. As a Java application, it can run on many platforms.
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The aim of ATRACO project is to contribute to the realization of trusted ambient ecologies. Interactive appliances, collaborative devices, and context aware artefacts, as well as models, services, software components are parts of ambient ecologies.
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Lateralized Attention Assessment Computerized System. Java Open-source software for attention assessment, based on NAFW project (Neuropsychological Assessment Framework). © 2008 - UNIFESP / Igor Jirus Ramos Ribeiro / Prof. Dr. Carlos J. R. Campos.
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Graphicstra, pour le calcul du plus court chemin ( Algorithme Dijkstra )
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TextMarker is now developed and hosted at Apache UIMA (http://uima.apache.org/textmarker.html). TextMarker is a UIMA-based tool for information extraction and more. The full featured editor of the rule language and the build process of UIMA descriptors are complemented with components for visualization, explanation, testing and rule learning.
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Pace & Place is an application for managing and visualizing GPS data and sports training data. It empowers the user to track training events and combine them with geographic data. Map, waypoint, track visualizations and geo-referencing of photos.
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SEMANTIXS is a semantic information extraction system that can extract, represent and visualize domain-specific information from free-text in the form of complex (and simple) relationships. Refer - http://www.cs.iastate.edu/~semantix/ for more info.
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SyMBA is a Data Archive and Integrator that is based on the Functional Genomics Object Model (http://fuge.sf.net) and which archives, stores, and retrieves raw high-throughput data. See http://symba.sf.net and http://www.cisban.ac.uk
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OpenForecast is a package of general purpose, forecasting models written in Java that can be applied to any data series. No knowledge of forecasting is required. Using this package, the most appropriate algorithm for your data will be selected.
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A high-level Java library to communicate with SUMO (Simulation of Urban MObility) through its TraCI protocol
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Wo is an architecture designed for representing human's digital selves. Wo is a 3D avatar system and tracks biometric data such as weight. Wo aims to bring the console experience of the Wii to the PC but with a more flexible model.
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This Project is to make a robotic platform and Soft Brain for a self learning research robot. For making it modular we are using OSGI with rosjava javacv.
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The program versusSNP is a flexible tool for mining SNPs between two close related genomes. First, we align all the orthologous genes and select SNPs, then the SNPs are separated into categories based on their mutation types.
