Search Results for "python user interface"

XMIPP is an image processing suite for 3D-reconstruction of biological specimens from transmission electron microscopy data. NOTE that stable releases (including binaries) are longer stored at Sourceforge, but are available at http://xmipp.cnb.csic.es

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.

...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/

Comprehensive Meta Prediction and Annotation Services for Proteins: The new all-in-one prediction tool that can be easily extended to include any SOAP/WSDL-enabled prediction servers. A concise user interface lets you use the results instantly.

Avian Freeware Suite (AFS) provides two things: Developers with libraries for Java Swing Widgets, XML handling, Fortran95 and Pascal; End users (Medical students, doctors, scientists) with productivity tools they can use (quizzes, XML databasing & PDF)

Sight provides a friendly interface to create and connect agents for bioinformatics. The workflow supports multiple responses to a single request, structure transforms, filters and request history access.Can talk with ordinary http servers (get and post)

The Integrative Biology VRE is a web-based graphical user interface and repository that provides an environment where biological simulation experiments can be constructed without the need for any knowledge of unix, cluster computing, or shell scripting.