Methods for Computational Gene Prediction

　　Inferring the precise locations and splicing patterns of genesin DNA is a difficult but important task, with broad applicationsto biomedicine. The mathematical and statistical techniques thathave been applied to this problem are surveyed and organized into alogical framework based on the theory of parsing. Both establishedapproaches and methods at the forefront of current research arediscussed. Numerous case studies of existing software systems areprovided, in addition to detailed examples that work through theactual implementation of effective gene-predictors using hiddenMarkov models and other machine-learning techniques. Backgroundmaterial on probability theory, discrete mathematics, computerscience, and molecular biology is provided, making the bookaccessible to students and researchers from across the life andcomputational sciences. This book is ideal for use in a firstcourse in bioinformatics at graduate or advanced undergraduatelevel, and for anyone wanting to keep pace with thisrapidly-advancing field.