LabAutomation 2006 - SLAS

LabAutomation2006
4:30 pm Tuesday, January 24, 2006 Track 4: Informatics Room: Madera
Wyndham Palm Springs Hotel
Ton van Daelen
Co-Author(s)
SciTegic
Robert D. Brown
San Diego, California
tvd@scitegic.com
Mathew Hahn
An Enterprise Platform for Data and Application Integration
Today’s laboratories are generating a vast amount of disparate data that must be captured and organized before it can be successfully
exploited. At the same time the software industry is producing a large number of disparate applications to manage and mine the data.
Data pipelining provides a new paradigm for integrating both the data and the various applications that act on it. Data pipelining provides
a mechanism to federate data that can be easily modified as new or changed data sources become available. The federated data
can be manipulated on the fly or uploaded into a data warehouse (with pipelining providing the ETL capability). The method inherently
captures best practice workflows making data and application integration solutions easy to maintain, share and document. This paper
will discuss strategies for applying data pipelining to data and application integration projects. Data pipelining also enables workflows to
be implemented that make novel joins between data from different disciplines. We will show examples that generate knowledge based on
joining data flows from genomic and small molecule sources.
9:00 am Wednesday, January 25, 2006 Track 4: Informatics Room: Madera
Wyndham Palm Springs Hotel
Ajit Jadhav
Co-Author
NIH Chemical Genomics Center
Rockville, Maryland
ajadhav@mail.nih.gov
Yuhong Wang
Research Informatics in Probe Discovery at the NIH Chemical Genomics Center
Advances in automation, liquid handling and data analysis have lead to high-capacity integrated technologies enabling the assay and
analysis of greater than one million biological reactions per day. Perhaps more important than output is the potential of these technologies
to improve data quality generated from high-throughput screening campaigns. Currently, the industry standard for the primary screen is to
test compounds at a single concentration. However, for the purposes of creating a chemical genomic map of the cross-section between
chemical space and biological activity, a more thorough analysis of each compound is required. We developed a strategy to generate
concentration-response curves on large compound collections using existing technologies. These high throughput IC50s/EC50s are
being used to drive chemistry for the development of probes that can be utilized as modulators to study biological systems. An effective
informatics framework that supports these activities is critical to the success of our operations. The development of an integrated platform
that combines commercial and inhouse solutions to address the management, analysis and visualization of data that spans biology,
chemistry, and qHTS operations will be described.
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