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GeneEd and Reel Two launch a powerful text-mining
tool for the Life Science industry based on Gene Ontology
San Francisco, CA, October 1, 2002—GeneEd, the leading
Life Science e-learning provider, and advanced data mining software
provider Reel Two have launched a powerful new text-mining tool
for life sciences research. The Gene Ontology Knowledge Discovery
System (GO KDS) is the first application designed to classify unstructured
documents according to the widely used Gene Ontology. GO KDS has
classified the full set of more than 12 million MEDLINE documents
classified against the Gene Ontology terms. Researchers, drug developers,
clinical research teams, and clinicians can now use this tool to
find complex associations between specific gene functions and current
research on diseases.
"GeneEd is honored to assist in delivering Reel Two's text
mining expertise to such a knowledge-driven industry as Life Sciences",
said Dr. Sunil Maulik, Chief Executive Officer for GeneEd. "The
combination of GeneEd's expertise in genomics, drug discovery, and
clinical research and the tremendous text and data mining expertise
of the Reel Two team has allowed both organizations to cooperatively
deliver such a powerful and immediately useful scientific and medical
information mining solution as GO KDS to the Life Science industry".
GO KDS is currently being evaluated by leading pharmaceutical and
biotechnology customers. GO KDS is available as a hosted service,
or can be installed behind the firewall. Custom implementations
of GO KDS can also incorporate different public and proprietary
taxonomies, which can be applied to text data from any source the
client requires. You can learn more about GO KDS at http://www.geneed.com/kds.html.
GeneEd and Reel Two have formed a strategic alliance to provide
knowledge discovery solutions for the life sciences industry. The
two companies have developed a series of solutions to enable pharmaceutical
and biotech companies to swiftly organize their vast reserves of
unstructured data, text, and legacy content, reducing time and cost
in areas such as research and development, drug discovery and clinical
trials.
"The GO KDS is a perfect example of how GeneEd's in-depth
knowledge of the challenges facing its clients enable this partnership
to develop solutions that solve critical problems for the Life Science
industry," said Michael Faust, Reel Two's chief executive officer.
"GeneEd's domain expertise in the life sciences combined with
Reel Two's expertise in data mining, text compression, and knowledge
management has allowed us to rapidly develop a suite of cutting-edge
solutions in response to our major pharmaceutical partner's needs."
For more information on pricing, evaluations, or group or academic
discounts, please contact info@geneed.com,
or call 866-4GENEED.
About GeneEd
GeneEd, Inc. was founded in 1997 to provide life science and healthcare
e-learning solutions for the pharmaceutical, biotechnology, instrument
and medical device, and hospital/HMO industries. GeneEd's Life Science
industry customers include AstraZeneca, Pfizer, the ALZA division
of Johnson&Johnson, Celera, Bio-Rad, and IBM Life Sciences (http://www.geneed.com/customers.html).
GeneEd utilizes the best life science content, combined with advanced
e-learning development technology, to rapidly create basic and advanced
curricula in the areas of genomics, therapeutic area training (for
clinical research, product development, and sales and marketing
teams), computer assisted drug design, drug discovery and development,
pharmacogenomics and clinical genomics, bioinformatics and microarray
informatics, and therapeutic and diagnostic products. GeneEd, Inc.
is a privately held company headquartered in San Francisco, California.
Visit http://www.GeneEd.com
for additional information about GeneEd and its courseware.
About Reel Two
Reel Two brings together a team of managers and developers with
years of experience working together in the knowledge management
and data mining software industry. Its experts in applied machine
learning and knowledge extraction software have more than 75 combined
years of experience, with several of them authoring or contributing
to top-rated books and papers on data mining and text compression.
The company's text-classification engine leads the industry in speed,
accuracy, footprint and multi-lingual capability. Reel Two has also
developed products for entity extraction, summarization, search
and web crawling. The company is headquartered in San Francisco,
CA, with locations in New York, NY and Hamilton, NZ, its technical
development center. For more information visit www.reeltwo.com.
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