Search Results for "life"

The Bio2RDF project aims to transforms silos of life science data into a globally distributed network of linked data for biological knowledge discovery. Bio2RDF creates and provides machine understandable descriptions of biological entities using the RDF/RDFS/OWL Semantic Web languages. Using both syntactic and semantic data integration techniques, Bio2RDF seamlessly integrates diverse biological data and enables powerful new SPARQL-based services across its globally distributed knowledge bases.

The BE-Calculator is a Java application, written to ease the average diabetic's life. It currently only calculates how many I.U. you have to inject, but aims at providing a full, multilingual diabetic's diary. This project has been superseded by GGC!

HELEN is a flexible framework to support the computer-based management of Clinical Practice Guidelines (CPG). It covers the whole life-cycle of a guideline, providing methods and tools for each step (from development to clinical use).

EHR/EMR cross-platform software for the design, implementation and use of autonomous, open, database models for multilingual medical knowledge management systems from primary care to continuing care.

MOLGENIS can be used to generate databases for life science experiments (micrroarray, mass spectrometry, genomics) having a web user interface, csv exchange format, and programmatic interfaces (web services, rest, and r-project). See NatRevGen 8.

Life Science Identifier (LSID) resolution protocol, to locate biologically significant data over a network, within middle-ware providing a client A.P.I. for Life Science applications, and server software, for Industry data providers.

cy.prus is a cross platform simulation environment for medical cybernetics and systems biology. Its purpose is to provide both a facility for simulating life and a GUI for easily constructing biological information processing structures based on XML.

A laboratory information management system (LIMS) geared towards academic research groups in the life sciences. Written in Python and using the Django framework, you run this software on your own server.