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Licensee Research Use of MEDLINE®/PubMed® Data:
Summary Report Sorted by Research Category:
Biological Knowledge Discovery

This report is sorted alphabetically by organization/institution. It lists NLM's licensees who have submitted information in the category shown below about their use of the data for research and permitted NLM to make their information available on the Web.

Click on the Project Summary for the corresponding complete report. General information about NLM's Web site for licensees' research projects is available.


BIOLOGICAL KNOWLEDGE DISCOVERY (INCLUDES DRUG DISCOVERY)

1   ChemGenex Pharmaceuticals

Jeremy Jowett
jjowett@idi.org.au
Project Name: Data mining for functional information on positional candidate
genes for diabetes and obesity
Project Summary: To collate and present functional information about a list of candidate genes for a range of complex diseases including diabetes, obesity, depression and anxiety.

2   CINECA

Andrew Emerson
a.emerson@cineca.it
Project Name: MedMOLE - Mining On-Line Expert on MedLine
Project Summary: MedMOLE is a tool that improves the comprehension of microarray experimental results by grouping co-regulated genes on the basis of the informational content of MEDLINE documents.

3   Erasmus MC
Department of Urology
Guido Jenster
g.jenster@erasmusmc.nl
Project Name: Gene information extraction from MEDLINE
Project Summary: We link genomic (microarray analyses) and proteomic data (protein expression analyses) to MEDLINE to be able to perform high-throughput and automated MEDLINE searches to extract relationships between genes and their gene products.

4   Food Industry Research & Development Institute

Wang Chun-lin
clw@firdi.org.tw
Project Name:
Project Summary: Establishment the knowledge of the bioresource usage in the MEDLINE/PubMed data

5   National University of Singapore

Ailing Zhu
Jian Li
Project Name:
Project Summary: disease gene mining from MEDLINE

6   Novo Nordisk A/S
DK-2880 Bagsvaerd
Henning Nielsen
hepn@novonordisk.com
Project Name:
Project Summary: Teh Novo Group of Companies (Novo Nordisk, Novozymes, and Novo A/S)is a Danish Based Research, Pharmaceutical and Biotech Companies. Our main research focus is on the therapy areas Diabetes, Haemophilia, Growth Hormone, Hormone Replacement Therapy and Industrial Enzymes.

7   University Health Network, Microarray Centre
MaRS Centre, Toronto Medical Discovery Tower, 9-308G
LU ZHIBIN
zlu@uhnresearch.ca
Project Name:
Project Summary: We are constantly looking for ways to enhance the annotation of our microarrays. This includes finding homologs, placement in gene network and general knowledge discovery of proteins.

8   University of Arizona
The Artificial Intelligence Lab
Hsinchun Chen
hchen@eller.arizona.edu 		Cathy Larson
cal@eller.arizona.edu
Project Name: GeneScene (please note that the name of this project is
undergoing revision and will soon change)
Project Summary: GeneScene develops text mining and data mining techniques to support automated extraction and inference of biological regulatory pathways from biomedical literature and experimental data. We also provide visualization tools to facilitate related research.

9   University of Oklahoma
101 David L. Boren Blvd.
Jonathan Wren
Jonathan.Wren@OU.edu
Project Name:
Project Summary: Knowledge discovery using entities found within MEDLINE-for both shared relationship analysis (e.g.to find commonalities for microarray responders) and implicit relationship analysis (e.g. to discover previously unknown/undocumented relationships)

10   UT Southwestern Medical Center at Dallas
NA2.226
Harold Garner
Justin Hicks
Project Name: INNOVATION LABS DATA MINING
Project Summary: We are interested in biological knowledge discovery, pubmed-like searching and any useful literature-based tools development that can be useful for researchers.

Last updated: 26 October 2005
First published: 02 August 2005
Metadata| Permanence level: Permanence Not Guaranteed