Search Results for "data visualization, research"

An extensive description of this system is published in the Journal of Translational Medicine (http://www.translational-medicine.com/). In brief, the system consists of two main web applications, a data integration app and a data exploration app. The data integration app is a fully custom Java "Web 2.0" product called Sherpa. Sherpa uses Seam, a platform integrating Asynchronous JavaScript and XML (AJAX), JavaServer Faces (JSF), the Java Persistence API (JPA), and Enterprise Java Beans...

O Pytente é uma solução avançada para automatizar o processo de coleta, armazenamento e tratamento de dados bibliográficos de patentes. A ferramenta foi projetada para simplificar a coleta de grandes volumes de dados em repositórios de acesso aberto. O Pytente garante o armazenamento estruturado das informações, além da validação e eliminação de registros duplicados. Dentre as diversas funcionalidades disponibilizadas pela ferramenta, destacam-se a extração personalizada de subconjuntos de...

...Join us and make SIMON even cooler! Exploratory analysis of machine learning results with the help of many different visualization techniques will give you instant insights into models and data.

ZENBU is a data integration, data processing, and visualization web system based around three main web interfaces : an expression data enhanced genome browser interface, a secured user system for data upload and secured data sharing, and a data explorer interface to find and manipulate data across the many supported experimental data types and to find shared user configurations ZENBU is built as a web2.0 client/server application with javascript web clients and c++ server infrastructure.

Open Information Integration Tool Suite (Open II) is used by analysts and programmers to accelerate data integration and harmonization across organizations. OpenII has a neutral schema repository for browsing and comparing all sorts of data models. OpenII is built as a Rich Client Platform Application on top of Eclipse 3.x. Developers need to download Eclipse, install the RCP support, the Fatjar plugin and the Delta Pack in one of the 3.x flavors. Release Notes Release Date: Jan...

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.

Framework for text mining, data integration and data analysis. Keywords: ontology and graph alignment, relation mining, warehouse, semantic database integration, bioinformatics, systems biology, microarray, Java.

Ondex Web is a new web-based implementation of the network visualization and exploration tools from the Ondex data integration platform. New features such as context-sensitive menus and annotation tools provide users with intuitive ways to explore and manipulate the appearance of heterogeneous biological networks. Ondex Web is open source, written in Java and can be easily embedded into Web sites as an applet.

The Fluxion framework is a prototype data integration system using Semantic Web technologies.

A tool for autonomous and virtual topical data integration using the focused web-harvesting method.

This disease-centric project contributes data integration and analysis tools from the Institute for Systems Biology (ISB). We offer this project to the research community to further our efforts in disease prediction and prevention.

This project is to develop web applications and data integration functions to provide information on the collection records, ecology, geographic distribution, and taxonomic concepts of the vascular flora of the region.

The Hanalyzer is a tool designed to help biologists explain results observed in genome-scale experiments and to generate new hypotheses. It combines information extraction, semantic data integration, reasoning, and visualization.

A lightweight, browsing-based, 100% Python, federated data integration framework. Users may create custom schemas for disparate sources, query and expand results across sources to find related data; for use in fields such as bioinformatics and datamining

N-Browse is a client-server package for interactive visualization of network data with heterogeneous types of links, intended for ease of use and designed using a generic database schema for data integration and visualization.

LSG is a Windows application framework designed for visual data integration and based on Microsoft .NET 2.0 and CAB. An admin utility manages LSG apps, modules, events, and services, and a client integrates the modules and provides functionality hooks.

The Stem Cell Artificial Neural network project entails the analysis and integration of genomics data for extracting the stemness signature of several tissues by training a multiclass single-layer linear artificial neural network.

A Graph-Based Fact Management Architecture for Data Integration

INDUS is a porject for knowledge acquisition and data integration from heterogeneous distributed data, particularly from bio-informatics databases

DIMVisual stands for Data Integration Model for Visualization. The implementation allows the integration of information to the analysis of parallel application behavior.

The BioDataServer is a database integration system. It implements a mediator-wrapper architecture and offers a SQL interface. The data integration is based on user defined intergrated schema and adapter that wrap any kind of data source.

GeoACE is geo-data integration package designed to include and present geographical data, measured geo-information, and simulated geo-information. The tool is built upon the tcl/tk platform, using the Visualization Toolkit as a 3-D engine.