Comparative Gene Finding - Models, Algorithms and Implementation (Paperback, Softcover reprint of the original 2nd ed. 2015)

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.

General

Imprint:	Springer London
Country of origin:	United Kingdom
Series:	Computational Biology, 20
Release date:	October 2016
First published:	2015
Authors:	Marina Axelson-Fisk
Dimensions:	235 x 155 x 21mm (L x W x T)
Format:	Paperback
Pages:	382
Edition:	Softcover reprint of the original 2nd ed. 2015
ISBN-13:	978-1-4471-6875-1
Categories:	Books > Science & Mathematics > Biology, life sciences > Molecular biology Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General Promotions
LSN:	1-4471-6875-5
Barcode:	9781447168751

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