Data Mining in Bioinformatics

About this book

The goal of this book is to help readers understand state-of-the-art techniques in biological data mining&nbsp.,and data management&nbsp.,and includes topics such as:

-&nbsp.,preprocessing tasks such as data cleaning&nbsp.,and data integration as applied to biological data

-&nbsp.,classification&nbsp.,and clustering techniques for microarrays

-&nbsp.,comparison of RNA structures based on string properties&nbsp.,and energetics

-&nbsp.,discovery of the sequence characteristics of different parts of the genome

-&nbsp.,mining of haplotypes to find disease markers

-&nbsp.,sequencing of events leading to the folding of a protein

-&nbsp.,inference of the subcellular location of protein activity

-&nbsp.,classification of chemical compounds based on structure

-&nbsp.,special purpose metrics&nbsp.,and index structures for phylogenetic applications

-&nbsp.,a new query language for protein searching based on the shape of proteins

-&nbsp.,very fast indexing schemes for sequences&nbsp.,and &nbsp.,pathways

Aimed at computer scientists, necessary biology is explained.