Celera Genomics Corporation and Paracel Inc. have decided to form a team in the design of advanced gene discovery tools to assist the bioinformatics community in its data sequence and molecular structure research activities. The Pasadena based Paracel Company will install a GeneMatcher parallel genomic data analysis engine at Celera, headquartered in Rockville, to perform sensitive and selective genetic search algorithms at unequalled speeds. Celera anticipates that with the help of the GeneMatcher technology, the entire sequencing of the human genome will be completed in three years.
Celera Genomics constitutes a unit of Perkin-Elmer, a leading supplier of systems for life science research and related applications. The company has the ambition to become the reference source of genomic and associated medical information by compiling the bioinformatics tools and scientific expertise, essential to extract biological knowledge from protein data, including the discovery of new genes and the design of databases for use by the scientific community. In this way, Celera hopes to contribute in providing a deeper understanding in the nature of biological processes.
Founded in 1992, Paracel provides high-performance genetic data analysis systems for the pharmaceutical, biotechnology, and government markets. The GeneMatcher consists of a massively-parallel architecture in custom, application-specific integrated circuit (ASIC) technology. More than 6.000 processors perform a full range of dynamic programming algorithms such as Smith-Waterman, frame search, profile search, and Hidden Markov Models (HMMs). In addition, the product's assortment includes BioView Toolkit, an application programmer's interface (API), as well as BioView Workbench, a Web-based graphical user interface (GUI).
According to the agreement, Celera and Paracel scientists will work together on express sequence tags (EST) clustering. They will also concentrate on the improvement of whole genome data mining capabilities. This method forms an innovative approach towards the execution of both DNA and protein level comparisons of the various sequence data. As a result, the techniques for sequencing quality estimation and similarity search will be largely improved. All these applications will be implemented on the GeneMatcher to integrate them into the comprehensive research task, set out by Celera. The design of high performance informatics tools will lead to unexpected revelations in the human genetic code.