omation mbers - Society for Laboratory Automation and Screening

TP076
Duraisamy Sridharan
Anna University
Ramanujan Computing Centre
Chennai, Tamil Nadu 600025 India
sridhar@annauniv.edu
A Generic Model for Timely Refreshing of Very Large Semi-Dynamic Web Sites
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Co-Author(s)
P. Sakthivel
S. K. Srivatsa
The popularity of the World-Wide Web has made it a prime vehicle for disseminating information. More and more
corporations and individuals advertise themselves through web sites in recent years. Although there has been
much work on WWW information management, research in keeping information on web sites up-to-date is still
in its infancy. Usually, all Web pages can be classified into three categories as follows: 1. Static: This kind of Web
pages present information that either does not change over time, or it rarely changes. 2. Dynamic: The content of
these Web pages varies according to various input parameters. 3. Semi-dynamic: These Web pages have their
contents derived from some source databases and they change in response to updates to the source databases.
In relative to dynamic pages, we refer to them as semi-dynamic pages because they remain static and do not
change automatically unless a user initiates a refresh request explicitly. As the WWW continues its rapid growth,
the number of semi-dynamic Web pages with information extracted from source databases increases rapidly too.
A crucial problem arises when base data change at a high frequency and there is a need to keep a large set of
semi-dynamic pages up-to-date in response to the changes since nobody is interested in stale data on the Web. In
this paper, we study this scenario as a website refresh problem. We propose a generic model for timely refreshing
semi-dynamic web sites, and discuss several important research issues involved in the field. A good solution to
this problem is especially important for Genomic information management, electronic commerce applications, and
other database-driven applications.
TP077
Claudia Stewart
NCI-FCRDC
MTC
P.O. Box B
Frederick, Maryland 21702
stewart@ncifcrf.gov
Automated Process of Q-PCR/Gene Expression
Co-Author(s)
James M. Cherry, Kelly T. Martin,
Naryan K. Bhat, David Munroe
The use of high throughput automation for the study of gene expression is currently under development. New
large scale assays for genotyping, pathogen detection, viral load expression, and drug effects on cells are either
underdevelopment or currently in use. The growing demands in the field of genomics require the development of a
high throughput production for both quality RNA and its associated cDNA.This will allow for the use of a sensitive
PCR based fluorescent detection assay, like Taq Man to be used high throughput. While automation solutions
are readily available for various methods such as, RNA extraction, preparation of first strand synthesis cDNA,
and running multiple Q-PCR, and integrated approach in linking all of the methods on a robotic platform is still
forthcoming. Our progress in developing such a format is presented here.