Computational Biology Approaches to Genome and Protein Analyses

Dear Colleagues,

The aim of this Special Issue is to collect research articles on, among other topics, methods (including artificial intelligence, machine learning, mathematical, statistical methods), algorithms and their implementations in the field of computational biology.

Nowadays, the amount of experimental biological data is continuing to increase. This is connected with the necessity of developing new, more effective methods, algorithms and their implementations as computer programs, which will allow for an in-depth understanding of the meaning of the data. New approaches are especially important during the analysis of genomes (including sequences) and proteins, and striving to establish a complex sequence-function relationship. These approaches can rely on the "computing power" needed, for example, when generating phylogenetic trees by ever faster computers. New approaches can also use artificial intelligence methods, especially artificial neural networks, fuzzy logic, and expert systems. Using artificial neural networks, for example, makes it possible to replace computation with recognition. Moreover, regardless of the method used, the interpretation of the results always plays a key role, and in this area, computer methods can also play an important role by effectively supporting scientists. New approaches are particularly important when analyzing genome changes during the evolution of normal organisms and the development of transformed cells, as these areas are relatively poorly understood.

Potential topics covered by this Special Issue include, but are not limited to, ideas, methods (including artificial intelligence, machine learning, mathematical and statistical methods), algorithms, implementations, and computer programs used to analyze genomes (including sequences) and proteins, and establishing a sequence-function relationship. Original articles and reviews addressing these topics are welcomed. 

Prof. Dr. Andrzej Kasperski
Guest Editor

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