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The biotechnology industry is a rapidly growing industry and rather alien to most people that is not versed in biology and chemistry. It is however a very important industry and according to Webster (2001) will succeed the information age. This in itself is a very serious statement and may, in fact, overturn many of society's current outlooks on life and the way business is conducted. Forward-looking economists are determined that the technology and information era is destined to be replaced by the bio-era and that all sectors of the world's economy will become biotechnology driven which could spark a revolution in the global economy. Bio-data mining will become very important due to the enormous amounts of data and information that is generated in this industry. It could be worthwhile to investigate data mining techniques that has been developed for other industries and apply this in the biotechnology industry or vice versa. This will force researchers to think very creatively on how to tackle this challenge. De Bono (1987) says that many new ideas come about when new information gathered by observation or experiment forces a reappraisal of the old ideas. De Bono adds that new information is probably the surest road to new ideas, but it is still unreliable, for mostly the new information is explained by an old theory and fashioned to support that theory.

Data mining and search techniques in the biotechnology and Web environment: a comparison