Machine learning applications in bioinformatics
نویسنده
چکیده
Bioinformatics is a field of study dealing with methods for storing, retrieving and analyzing gene and protein oriented biological data. High-throughput technologies like DNA sequencing or microarrays allow researchers to obtain large volumes of heterogeneous and mutually interacting data. Analysis and understanding of these data provides a natural application field for machine learning algorithms. At the same time, bioinformatics is a scientific branch of such analytical complexity, data variety and abundance that it motivates further development of specialized learning algorithms such as co-clustering or multiple sequence alignment. This paper provides a brief overview of the topics and works discussed during my talk on machine learning applications in bioinformatics. The talk starts with a preview of fundamental bioinformatics analytical tasks solved by machine learning algorithms mentioning a few success stories. The second part summarizes the recent bioinformatics research carried out in my home research group, the Intelligent Data Analysis group of Czech Tech-
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