Front Matter; Blast and Fasta; Sequence alignment; Contig assembly; DNA replication and viral evolution; Gene and motif prediction; Hidden Markov Models; Gibbs Sampler; Bioinformatics and vertebrate mitochondria; Characterizing translation efficiency; Protein isoelectric point; Bioinformatics and Two-Dimensional Protein Separation; Self-Organizing Map and other clustering Algorithms; Molecular Phylogenetics; Fundamentals of Proteomics; Back Matter
Summary
The many books that have been written on bioinformatics tend to fall on two extremes: books that feature computational details with a great deal of mathematics, for computational scientists and mathematicians, or books that treat bioinformatics mostly as a giant black box, for biologists. Previous books written on bioinformatics often have limited contribution to creating interdisciplinary scientists needed in modern biological and biomedical sciences. This book aims to render both mathematical equations and biology to numbers, to help truly interdisciplinary scientists. Although the book cove
Bibliography
Includes bibliographical references (pages 309-340)
