ABSTRACT
One of the primary objectives of bioinformatics is to develop methods and tools needed for the management, exploitation, and analysis of the data. The knowledge of entire genomes is thus a veritable challenge for research in biology and bioinformatics, a challenge that continues to raise fundamental questions and generate surprises. The major idea that emerges is that bioinformatics is faced with such problems of data interpretation that it will probably be essential to define in this context, strategies that are much stricter than those followed so far. One characteristic of the approach is the need to make decisions in an uncertain environment, that is, to resolve statistical problems. The models are thus constructions that take into account some characteristics of the sequences analyzed that may appear naive to the biologist. Moreover, models that are not too naive begin to appear in the context, for example, of gene detection.
