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A modular, database-backed system for 5 dimensional (5D) analytical biological microscopy and cell-based screening. Please note - we have moved. Please come visit us and download from our new site at http://cvs.openmicroscopy.org.uk
The ultimate goal of this project is to create a Java based DNA viewer that is both flexible and extendable. The initial phase will involve the design and implementation of a framework that can be used either with this project or other similar projects.
SPedit is a new curation environment for the Swiss-Prot and TrEMBL databases. For more information about these databases see http://www.expasy.ch/sprot/ and http://www.ebi.ac.uk/swissprot/
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Cooperative effort to develop a Java-XML API and architecture to manage and share health concepts and processes eficiently. Includes a framework to develop healthcare applications (from PDA reminders to hospital information systems) quickly and easily.
Before year 2045, we want to create a "software development lab" that will allow to write "from scratch" the DNA of a creature, the "content" of it's first cell, and the components of the solution in which it will grow, to simulate it's life.
The RNA Ontology Consortium proposed a translation the RNA backbone angles to 46 clusters ('suites') and hence unique names. This project calculates the suites from RNA 3D structures, and to search on a Java-based index structure of known folds.
The library allows to communicate with BioMOBY Registries and implements all operations such as retrieval, search, registration, deregistration of services, data types etc...
A simple tool for molecular biologists (or similar) to estimate the size of electrophoresis gel bands. This can be applied to SDS-Page-,Native-Protein-, DNA, RNA, *whatever* gels as long as a weight/size standard lane is present on the gel.
Danaides stores meta-data from biological banks in a graph databases as well as OBO formatted ontologies.
It also provides a web query interface to parse ontologies or extract nodes based on ontology requirements.
Example: Get all known elements that are in family of Fish (species ontology) AND a RNA (sequence ontology).
XMAS supports a new kind of “sit forward” time series microarray analysis through visual interaction and interoperable operators. Domain knowledge is integrated directly into the system to aid users in their analysis.