Abstract
The huge amount of genomic data generated not only leads to a demand on the computer science community to help store, organize and index the data, but also leads to a demand for specialized tools to view and analyze the data. The main role of bioinformatics was to create and maintain databases to store biological information, such as nucleotide and amino acid sequences. With more and more data generated, nowadays, the most pressing task of bioinformatics has moved to analyze and interpret various types of data, including nucleotide and amino acid sequences, protein domains, protein structures and so on. To meet the new requirements arising from the new tasks, researchers in the field of bioinformatics are working on the development of new algorithms (mathematical formulas, statistical methods and etc) and software tools which are designed for assessing relationships among large data sets stored.
