Friday May 4, 2001

COMPANY PRESS RELEASE

Transgenomic Announces Dr. Douglas Gjerde Enters Agreement to Write Book

OMAHA, Neb., and SAN JOSE, Calif., May 4 /PRNewswire/ -- Transgenomic, Inc. announced today that Douglas Gjerde, Ph.D., has entered into an agreement with a publisher to co-author a book on DNA Chromatography. This book will describe various DNA/RNA separation and purification technologies that are the basis of the current major products sold by the company. When finished, the book will be available to the company for use in its promotional and training activities. In order to devote sufficient time to the project, Dr. Gjerde has relinquished his management position as chief scientific officer. He will remain a director and scientific advisor to the company.

Trangenomic will organize its genomics-focused research and development efforts initially into three primary technology centers in order to support its continuing global growth and entry into new markets. The emphasis will be on separations chemistry, enzymology, and nucleic acid synthesis as related to their use in the study of biological systems. Responsibilities will include research and development and coordination of external collaborations with world-class scientists in the associated areas. This will provide a base of technologies to be leveraged by our expanding applied genomics and molecular genetics group for rapid market-driven product development.

About Transgenomic

Transgenomic provides versatile and innovative research tools and related consumable products to the life sciences industry. Its WAVE® nucleic acid fragment analysis system can be used for variation detection, size-based double-strand DNA separation and analysis, single-strand DNA separation and analysis and DNA purification. When used for variation detection, these tools enable researchers to discover and understand variation in the human genetic code, or genome, in order to accelerate and improve drug development and diagnostics. Transgenomic believes the WAVE System will become a leading tool to analyze genetic variations as it allows researchers to analyze both known and unknown genetic variations faster, with more accuracy and at a lower cost than other commercially available techniques.

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