Bioinformatics algorithms are step-by-step procedures for predicting an event. There are a set of mathematical and biological rules that support a prediction on calculating, processing and reasoning. The principles of each algorithm are commonly based on the two models; homology and ab initio. The models are updated on the development of mathematical schemes, whose details are not essential for a biologist to know. Although, the precision of updates can be considered on checking the outputs with quality control factors, but the link of tools within layers of a neural network point out that there are needs to know the descriptive characteristics of updated versions. The most important changes are primarily considered in the scoring matrices of structural and functional units (amino acid, base, rotamer), and then, the programs that try to relate each unit to its flanking sections. Mohammad Najafi, Bioinformatics Tools as Power Hypothetical Predictors.
Last date updated on July, 2014