The biological databases are collections of data on the sequences and structures of proteins and nucleic acids primarily. Collected from experimental results on small and large scale computational analysis and scientific publications. These databases are called primary because they contain direct information on the sequence, structure and expression pattern of DNA or protein. Analysis of the primary databases of secondary databases, which contain assumptions and derived data, such as mutations, evolutionary relationships, families or grouping functions, involvement in diseases, etc. arise. On the subject of statistical analysis will deepen the fundamental concepts that are detailed below: Experimental design and control of variability, accuracy and error in scientific knowledge: the null hypothesis, random and systematic errors: quantification and control point Bayesian view, characteristics of the variables used in research, surrogate variables, such as setting the sample size of an experiment, the description of the results of an experiment, analyzing the results of the experiments and the problem of multiple comparisons and post-hoc analysis.