Search Results for "java client msi"

Over 1,000,000 page views per month. Jmol/JSmol is a molecular viewer for 3D chemical structures that runs in four independent modes: an HTML5-only web application utilizing jQuery, a Java applet, a stand-alone Java program (Jmol.jar), and a "headless" server-side component (JmolData.jar). Jmol can read many file types, including PDB, CIF, SDF, MOL, PyMOL PSE files, and Spartan files, as well as output from Gaussian, GAMESS, MOPAC, VASP, CRYSTAL, CASTEP, QuantumEspresso, VMD, and many other...

Maui is the Maltcms User Interface, a rich client application for Chromatography-Mass Spectrometry and related research areas.

An open source workbench for chemo- and bioinformatics built on the Eclipse Rich Client Platform (RCP).

...Experiment platforms supported include Illumina HiSeq, MiSeq, iScan, ABI Sanger sequencing, Affy and Agilent Microarrays, Sequenom MassArray and Bioanalyzer. GNomEx is a web application with a Flash client user interface and a Java backend that runs on Apache Tomcat. MySQL is used for the database, although any modern RDBMS can be used.

SBSI (Systems Biology Software Infrastructure) is a suite of tools for systems biology, such as parallelized numerical algorithms, and a Java, Eclipse RCP based client for visualizing results, running simulations, and integrating SBML based plugins.

ATOM is an OMERO client which allows automated import of image data into OMERO. ATOM is provided as is without any guarantees or warranty. The author is not responsible for any damage or losses of any kind caused by the use or misuse of the programs.

A comparative map and trait visualization framework enabling visual integration of genomic data from disparate data sources and allowing rich client-side interactivity and manipulation. Extensible through plugins for new datasources and algorithms.

Client tools for the FuncNet protein function analysis platform: http://funcnet.eu/

ArrayPlex integrates various forms of microarray data from diverse annotation and primary data sources. It provides a programmatic framework (API set) for collaborative development and deploys as easy to maintain client-server architecture.

The metabolomics standards initiative (msi) will develop a Core Information for Metabolomics Reporting (CIMR) recommendation and a more formal and semantically defined corresponding ontology (msi-ontology).

Large set of functions for biological records (ECG, EEG, phono), datastore, datamining and analysis (HRV, QT, RR, ST). The application is written in Java, so that it is assumed to work on all devices. It runs as a desktop or client-server application. It

JGenAlg is a java toolbox for working with metaheuristic procedures (Genetic Algorithms, Island model, Particle Swarm, Ant Swarm). JGenAlg have a GUI, a Client/Server architecture, work with threads and can be use under distributed enviroments.

The primary goal of the JES is to develop Distributed Configuration Service for client/server,clusters,grids,agent based architectures.

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.

Molevolve is a Java library for running a Genetic Algorithm to model the 3-dimensional structures of peptide chains from amino-acid sequences. Client code can specify its own peptide chain model, fitness functions and GA operations. Requires JDK 1.5.

Winnow is a graphical application for importing and organising articles from PubMed. It gives access to abstracts, full text and allows references to be saved. It can also predict what a user will find interesting through adaptive filtering.

Multimedia consumption at social events - if available - can be considered as a complex problem. People use their smart phones and tablets to take pictures and videos, leading to a high number of production places. If we enable those visitors to share their content at the event, new challenges emerge. Visitors move, go online and offline, and build a dynamic network. One can say a complex adaptive network emerges, with all its problems. We tackle these problems by introducing a bio-inspired...