Bioinformatics is our ability to organize biological data. From another perspective, bioinformatics is our ability to understand how biological information is organized. From this understanding should spring an enhanced view of the interactions between biological molecules. This should, in turn, informour search strategies for new small molecules that will modulate the behaviour of biological molecules to give a beneficial therapeutic effect. These definitions arise from observation of the way diverse skills are brought to bear in attempting to answer biological questions. They also stress the importance of organizing and understanding biological data, rather than linking these aspects strongly to specific hardware or software implementations. Use of computers may be involved in the process but the definitions are not limited by the application of any particular technology.
Bioinformatics has also been defined as the application of computer technology to solving biological problems. This definition, perhaps what some would consider to be the canonid
one, is broad but restricts the scope of the definition to problems to which computer technology can be applied.

The pursuit of bioinformatics involves a number of different skills. Organizing, storing, re trieving, and querying sets of biological data are techniques that lie at the heart of the subject. An ability to analyze the characteristics of particular sets of biological data is fundamental. The translation of those characteristics into electronic representations that can be organized on a large scale is the domain of the bioinformatics software and database developer. The process of analyzing and under standing biological data using the tools available is the domain of the bioinforrnatics analyst. When new tools are in the course of development, substantial interaction between the two skill sets is essential.

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