Personalized Medicine

\r\n It deals with the major issues concerning analysis of genomes, sequences, and their structures. This topic and area introduce the basic computational methods used to understand and analyze the cell on a molecular level. It widely covers subjects such as the sequence alignment algorithms: dynamic programming, hashing, suffix trees, and Gibbs sampling. Furthermore, it focuses on other computational approaches to genetic; genome sequencing physical mapping, assembly, and annotation; RNA expression and secondary structure; protein structure and folding; and molecular interactions and dynamics. Personalized medicine may be considered an extension of several traditional approaches to understanding them and treating disease on various levels. Personalized medicine has the stable potential to change the way we think about, identify and manage health problems which are very much wide in modern health society.

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