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An Introduction to Bioinformatics Algorithms (Computational Molecular Biology)
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Make an Offer. This chapter gives a brief introduction to bioinformatics by first providing an introduction to biological terminology and then discussing some classical bioinformatics problems organized by the types of data sources.
Sequence analysis is the analysis of DNA and protein sequences for clues regarding function and includes subproblems such as identification of homologs, multiple sequence alignment, searching sequence patterns, and evolutionary analyses. Protein structures are three-dimensional data and the associated problems are structure prediction secondary and tertiary , analysis of protein structures for clues regarding function, and structural alignment. Gene expression data is usually represented as matrices and analysis of microarray data mostly involves statistics analysis, classification, and clustering approaches.
Simon, Edward L. Korn, Lisa M. McShane, Michael D. Radmacher, George W. Brownstein, Arkady B. Day, S. Parmigiani, E. Garrett, R.
Irizarry, S. Kohane, Alvin Kho, Atul J. Geschwind, Jeffrey P. Weissman Editor , , Academic Press. Hamdan, Pier G. Righetti, Corthals, Denis F. Pennington Editor , M. Kamp, D.
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