Search Results for "simple java web application"

TXM is a free and open-source cross-platform Unicode & XML based text analysis environment and graphical client, supporting Windows, Linux and Mac OS X. It can also be used online as a J2EE standard compliant web portal (GWT based) with access control built in. DOWNLOAD LATEST VERSION OF TXM : http://textometrie.ens-lyon.fr/spip.php?rubrique61&lang=en TXM offers a comprehensive range of analysis tools (concordances, collocate search, frequency lists, etc.) based on the powerfull CQP...

Use statistical methods to analyze time-course data (gene expression microarray and RNA-seq data in particular, but not limited to). Apply significance tests to filter out only significant genes or time series. Cluster time series into similar groups. Generate network models, including linear or non-linear models. Variable selection and optimization routines included. Written in Scala and R. The application is a cross-platform desktop app with a simple GUI and is fully functional...

CNV Workshop is a web-enabled platform for analyzing genome variation such as copy number variation (CNV). Learn about CNV Workshop in our associated BMC Bioinformatics manuscript: http://www.biomedcentral.com/1471-2105/11/74

...For NGS data Chipster contains a built-in genome browser, which highlights SNPs and automatically indexes BAM files and calculates coverage. Chipster’s ability to provide a biologist-friendly access to a powerful analysis platform is technically based on a desktop application user interface, a flexible distributed architecture, and the ability to integrate many types of analysis tools (command line, R/Bioconductor, Java, Web Services etc). The platform is generic and easily extendable to other areas, even beyond bioinformatics. For more information, please see http://chipster.csc.fi and http://genomebiology.com/1471-2164/12/

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).