Search Results for "java class analysis"

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

The Maltcms - Modular Application Toolkit for Chromatography Mass-Spectrometry is a JAVA API for preprocessing, alignment, analysis and visualization of data stored in open file formats used in Proteomics and Metabolomics research.

Identifiers.org is a system providing resolvable and persistent identifiers, in the form of URIs, used to identify data for the scientific community, with a current focus on the Life Sciences domain. The provision of resolvable identifiers (URLs) fits well with the Semantic Web vision, and the Linked Data initiative. The resolving services of Identifiers.org rely on the information stored in the MIRIAM Registry.

Onco-STS is a web-based Laboratory Information Management System for sample and analysis tracking in oncogenomic experiments. The systematic sequencing and analysis of tumour samples, as well other oncogenomic experiments, necessitates the tracking of relevant sample information throughout the investigative process. These meta-data of the sequencing and analysis procedures include information about the samples and projects as well as the sequencing centers, platforms, data locations,...

Contextor is a light-weight simple-to-use Java based library to help developers and researchers working with the general concept of a resource; as examples, resources can be text resources, web resources, images and videos.

The Swiss Protein Identification Toolbox (swissPIT) is a project at the Swiss Institute for Bioinformatics (SIB) in Geneva which aims at the development of an automated analysis system to identify proteins using MS and MS/MS based data.

Web application providing analysis of biomedical relationships. Built using the Grails web application framework (http://grails.org/) with MySQL (http://www.mysql.com/) as a back-end datastore and utilizing R (http://www.r-project.org/) for statistical analysis. Developed by the Dana Farber Cancer Institute (http://compbio.dfci.harvard.edu/) and Entagen (http://www.entagen.com).