Abstract:
Recently, several methods for analyzing phenotype data have been published, but only few are able to cope with data sets generated in different studies, with different methods, or for different species. We developed an online system in which more than 300 000 phenotypes from a wide variety of sources and screening methods can be analyzed together. Clusters of similar phenotypes are visualized as networks of highly similar phenotypes, inducing gene groups useful for functional analysis. This system is part of PhenomicDB, providing the world's largest cross-species phenotype data collection with a tool to mine its wealth of information...
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press releases and scientific publications
Abstract:
The processing of breast specimens suspicious of ductal carcinoma in situ (DCIS) is hampered by the fact that DCIS is not regularily visible at the gross level. There is no general consensus as how to process those breast specimens. Suggestions lead from examination of the entire tissue sample with a special focus on the resection margins to algorithms such as cutting only those paraffin blocks containing calcifications...
more
Abstract:
Phenotypes are an important subject of biomedical research for which many repositories have already been
created. Most of these databases are either dedicated to a single species or to a single disease of interest.
With the advent of technologies to generate phenotypes in a high-throughput manner, not only is the volume of
phenotype data growing fast but also the need to organize these data in more useful ways...
more
Abstract:
We have created PhenomicDB, a multi-species genotype/phenotype database by merging public genotype/phenotype data
from a wide range of model organisms and Homo sapiens...
more
Microsoft. January 2008.
"To know exactly what function has a gene is for us of essential importance. During the analysis of gene functions we collect enormous ammounts of data. Because of this we need optimal software tools." says Dr. Hans Kast, CEO BASF Plant Science GmbH. For this reason, the Microsoft Gold Certified Partner Metalife together with BASF Plant Science and their partners HP and Intel developed a cutting-edge software system, that helps the researchers to search and explore biological databases more efficiently...
more (in German)
20 June 2007.
Looking to optimize the world?s largest fully integrated life sciences knowledge base, BASF Plant Science implemented Microsoft Windows® 2003, SQL Server 2005 Enterprise Edition, metalife trinity, Visual Studio® 2003 and 2005, and the Microsoft .NET Framework. These solutions allowed the company to combine semantic data integration, text mining and knowledge generation to help researchers activate, compare and analyze data from sources across various areas. The enterprisewide aggregation of information and transformation into knowledge enabled BASF Plant Science to uniformly access and utilize all associated life sciences data. Metalife?s application, which can be easily enrolled on a large number of Windows clients, also drastically reduces administration expenses, by giving users easy-to-use and intuitive interfaces and complete control of tasks from database updates to user management...
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Microsoft Case Study. Posted: 02/24/2006
Metalife is helping researchers who are seeking new treatments and cures for a range of diseases. The company?s PhenomicDB database provides a central repository for genetic information from the Human Genome Project and similar efforts. As the success of Metalife?s database has grown, so has demand for support for concurrent, full-text searches against its database...
more
Gen: Best of the Web - May 1 2005 (Vol. 25, No. 9)
You've seen DNA sequence databases for hundreds of species and protein sequence databases for probably an
equal number. Interestingly, you've probably rarely, if ever, seen databases on phenotypes arising from
these genes. This is an excellent reminder of how far molecular biology knowledge has progressed. Even 20
years ago, our knowledge of biology was far more focused on phenotype than on genotype. Phenotypes ARE
important, however, and it is good to see databases like PhenomicDB providing online access links to phenotypes
AND genotypes as information from the latter overwhelms that of the former...
more
Microsoft Case Study. Posted: 03/04/2005
Intervet Innovation, a subsidiary of Intervet, operates a BioChemInformatics (BCI) division. BCI uses advanced
computer modelling techniques to search for new animal medicines, but its existing infrastructure could not support
the effective integration and analysis of internal and online research databases. Working with Microsoft Gold
Certified Partner Metalife, the BCI division built a new high-performance computing infrastructure based on
the 64-bit Microsoft Windows Server 2003 operating system and 64-bit Microsoft SQL Server 2000 database...
more
Scientific papers
Phenoclustering: online mining of cross-species phenotypes
/June 2010/
/June 2010/
Ductal carcinoma in situ (DCIS) breast specimens need to be embedded completely in order to determine the correct extent of the disease.
/June 2007/
/June 2007/
PhenomicDB: a new cross-species genotype/phenotype resource.
/January 2007/
/January 2007/
PhenomicDB: a multi-species genotype/phenotype database for comparative phenomics.
/February 2005/
/February 2005/
Press reviews
Are your people ready to develop new products faster?
/January 2008/
/January 2008/
Microsoft Announces 2007 Pharmaceutical and Life Sciences Innovation Award Winners.
/June 2007/
/June 2007/
Metalife: Life Sciences Company Uses SQL Server 2005 to Enhance Full-Text Searches.
/February 2006/
/February 2006/
Phenomic Database.
/May 2005/
/May 2005/
Intervet: High-Performance Computing Solution Accelerates Pharmaceutical Research.
/March 2005/
/March 2005/