Product category:
Data acquisition software
News Release from: Cellomics Europe | Subject: CellSpace V2.0
Edited by the Laboratorytalk Editorial
Team on 06 March 2002
Access to data from over 1.8 million
papers
The torrent of data now being produced by post-genomic research requires sophisticated new bioinformatics tools to assist in understanding what it all means
Cellomics Europe has announced the release of a new and enhanced version of CellSpace Knowledge Miner, an advanced bioinformatics tool that enables researchers to directly query the knowledge of molecular cell biology Enhanced to give access to more information, CellSpace V2.0 is a knowledge mining system that continuously monitors the research literature from 642 journals covering disciplines including molecular and cellular biology, clinical chemistry, and pathology
This article was originally published on Laboratorytalk on 11 Oct 2001 at 8.00am (UK)
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Accessing a comprehensive knowledge base of over 1.8 million papers, CellSpace V2.0 automatically extracts and databases information regarding cellular relationships across many sub-disciplines of the life sciences.
Cellomics says researchers across all disciplines in drug discovery will gain enormous benefit, as well as time and financial savings, from using CellSpace.
CellSpace computers now continuously analyse leading global information sources including SwissProt and the US National Library of Medicine's Medline database, performing proprietary statistical correlation analyses regarding the organisms, cell types, biological processes, and molecules reported on in biomedical research literature.
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By using CellSpace, with its new intuitive graphical user interface, molecular biologists and drug discovery researchers are instantly able to access insights that previously required days or weeks of literature review.
With CellSpace V2.0, users can determine the biological functions most commonly shared by a cluster of gene products, which is useful for interpreting cDNA microarray data.
CellSpace can also determine which protein-protein interactions observed in a two-hybrid screen have not previously been reported in the literature, list all the molecular targets implicated in a disease, as well as the drugs known to act upon them, and more.
The answer a user receives is much more than a simple annotation retrieved from a curated database; rather, it is a consensus derived from more than one million research publications.
All answers are linked back to the reports from which they were derived, enabling the user to judge their accuracy.
New research literature is automatically analysed every two weeks, ensuring that CellSpace V2.0 is always up to date.
And, if an update occurs that is relevant to your query, the user can be notified via e-mail immediately.
CellSpace V2.0 is the first sophisticated component of what will grow to become a fully automated knowledge representation system, one that enables the automated synthesis of new knowledge from data.
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