Search Results for "data integration"

mzMatch is a Java collection of small commandline tools specific for metabolomics MS data analysis. The tools are built on top of the PeakML core library, providing mass spectrometry specific functionality and access to the PeakML file format.

Olex2 is visualisation software for small-molecule crystallography developed at Durham University/EPSRC. It provides comprehensive tools for crystallographic model manipulation for the end user and an extensible development framework for programmers. The project has been supported by Olexsys Ltd since 2010.

The Collaborative Computational Project for NMR (CCPN) provides tools and knowledge to maximise the impact of the biological NMR studies. The CCPN software facilitates data analysis and software integration. The project actively promotes the exchange of knowledge and provides training and best practices for the NMR community. CCPN also has a leading role in the development of a NMR data-sharing standard and coordination of NMR instrumentation proposals for RCUK and BIS. The 28 partners of CCPN jointly cover all aspects of biomolecular NMR and together they promote excellence in science in their respective fields.

Many biological laboratories dealing with genomic samples are facing the problem of sample tracking, both for pure laboratory management and efficiency, and for internal policies, such as Good Laboratory Practices (GLP). Our laboratory exploits PCR techniques and next-generation sequencing (NGS) methods, to perform high-throughput integration site monitoring in different clinical trials and scientific projects, based on the delivery of therapeutic genes by viral vectors integrating into the genome of target cells. We process around 1500 samples/year resulting in hundreds of millions of sequencing reads, requiring automation and posing new challenges in data storage, monitoring of sample process and computational tools for analyses. ...

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.