ELECTRONIC DATABASES BIOLOGICAL INFORMATION

Brand Owner (click to sort) Address Description
LIFEPRO Oxford GlycoSciences (U.K.) Limited 10 The Quadrant Abingdon Science Park, Abingdon Oxfordshire, OX14 3YS ELECTRONIC DATABASES OF BIOLOGICAL INFORMATION RECORDED ON COMPUTER MEDIUM;LIFE PRO;SCIENTIFIC RESEARCH SERVICES;
PATHOPRO Oxford GlycoSciences (U.K.) Limited 10 The Quadrant Abingdon Science Park, Abingdon Oxfordshire, OX14 3YS ELECTRONIC DATABASES OF BIOLOGICAL INFORMATION RECORDED ON COMPUTER MEDIUM;PATH O PRO;SCIENTIFIC RESEARCH SERVICES;
PHYTOPRO Oxford GlycoSciences (U.K.) Limited 10 The Quadrant Abingdon Science Park, Abingdon Oxfordshire, OX14 3YS ELECTRONIC DATABASES OF BIOLOGICAL INFORMATION RECORDED ON COMPUTER MEDIUM;PHYTO PRO;SCIENTIFIC RESEARCH SERVICES;
TOXPRO Oxford GlycoSciences (U.K.) Limited 10 The Quadrant Abingdon Science Park, Abingdon Oxfordshire, OX14 3YS ELECTRONIC DATABASES OF BIOLOGICAL INFORMATION RECORDED ON COMPUTER MEDIA;TOX PRO;SCIENTIFIC RESEARCH SERVICES;
WEBWESTERN Oxford GlycoSciences (UK) Limited Abingdon OX14 4RY Electronic databases of biological information recorded on a computer medium; computer software for use in bioinformatics and genomics, namely, for use in the processing and analyzing of complex biological information with particular reference to the human genome and human proteome;WEB WESTERN;Scientific research services;
ZOOPRO Oxford GlycoSciences (U.K.) Limited 10 The Quadrant Abingdon Science Park, Abingdon Oxfordshire, OX14 3YS ELECTRONIC DATABASES OF BIOLOGICAL INFORMATION RECORDED ON COMPUTER MEDIUM;ZOO PRO;SCIENTIFIC RESEARCH SERVICES;
 

Where the owner name is not linked, that owner no longer owns the brand

    
Technical Examples
  1. A method is provided for retrieving information from massive databases (i.e., databases with millions of documents) in real time, that allows users to control the trade-off between accuracy in retrieved results and response times. The method may be applied to databases with contents, i.e., documents which have been modeled with a clearly defined metric that enables computation of distances between any two documents, so that pairs of documents which are "closer" with respect to the metric are more similar than pairs of documents which are "further apart". Our method can be applied to similarity ranking and/or can be combined together with other methods to increase the scalability of information retrieval, detection, ranking, and tracking.