Search Results for "data analysis and visualizing"

OpenMEDIS is a simple, flexible, and standardized tool to collect (inventory) and process (manage) information on health technology infrastructure, e.g. medical devices in low- and middle income countries. The latest source code is available in the folder Code/trunk. There are also sub-projects of openMEDIS that contain the source-code of installations in each country.

GMOD is a set of interoperable open source software components for visualizing, annotating, and managing biological data. See http://gmod.org for more.

KeplerDB is a temporal database to store time/value entries where the type of value could be integer, float/double, boolean and string. KeplerDB is dedicated to be scalable and to create clusters of server allowing the user to analyse and store massing amount of data to monitor systems like computers, clusters, building and captors or financial systems like markets and accounts. The user can use KeplerDB to make data analysis on enormous amount of data (statistics and modelling).

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

XAIRA (XML Aware Indexing and Retrieval Architecture) supports indexing and analysis of large XML textual resources such as natural language corpora.

Bioinformatics tools and applications for the analysis of genomic sequence data.

IP2CC is free IP to Country Code database. Along with providing web developers with practical means to use these data, IP2CC project aims to develop tools to maintain data updates.

A mechanism for identifying, acquiring, transforming, and serving data from multiple geographically diverse, heterogeneous data sets from a common data portal. This work is funded by a NASA Advanced Information Systems Technology (AIST) grant.

Development of a multi platform application designed to allow the web access flow of any kind of data but keep the things simple, customizable and secure.