This book presents a guide to building computational gene finders, and describes the state of the art in computational gene finding methods, with a focus on comparative approaches. Fully updated and expanded, this new edition examines next-generation sequencing (NGS) technology. The book also discusses conditional random fields, enhancing the broad coverage of topics spanning probability theory, statistics, information theory, optimization theory and numerical analysis. Features: introduces the fundamental terms and concepts in the field; discusses algorithms for single-species gene finding, and approaches to pairwise and multiple sequence alignments, then describes how the strengths in both areas can be combined to improve the accuracy of gene finding; explores the gene features most commonly captured by a computational gene model, and explains the basics of parameter training; illustrates how to implement a comparative gene finder; examines NGS techniques and how to build a genome annotation pipeline.
Rezensionen / Stimmen
"The structure of the book mirrors the learning steps for understanding how to perform gene finding. . Its target audience is mainly post-graduate researchers or established researchers with a background in mathematics or statistics applied in bioinformatics who need a thorough yet concise overview of this field." (Irina Ioana Mohorianu, zbMATH 1350.92001, 2017)
"It skillfully introduces readers to a difficult subject, while at the same time motivating them to enter this very important area. . It is best suited for a graduate course or as an introduction for researchers not familiar with this field. . this is an excellent introduction to comparative gene finding. . I especially recommend this book to any computer scientist with an interest in current problems in bioinformatics." (Burkhard Englert, Computing Reviews, December, 2015)
Reihe
Auflage
Sprache
Verlagsort
Illustrationen
81
81 s/w Abbildungen
XX, 382 p. 81 illus.
Dateigröße
ISBN-13
978-1-4471-6693-1 (9781447166931)
DOI
10.1007/978-1-4471-6693-1
Schweitzer Klassifikation
