Comparative Gene Finding: Models, Algorithms and by Marina Axelson-Fisk

By Marina Axelson-Fisk

This e-book offers a advisor to development computational gene finders, and describes the cutting-edge in computational gene discovering equipment, with a spotlight on comparative ways. absolutely up-to-date and elevated, this re-creation examines next-generation sequencing (NGS) expertise. The e-book additionally discusses conditional random fields, bettering the wide insurance of themes spanning likelihood thought, statistics, info concept, optimization concept and numerical research. beneficial properties: introduces the elemental phrases and ideas within the box; discusses algorithms for single-species gene discovering, and techniques to pairwise and a number of series alignments, then describes how the strengths in either parts may be mixed to enhance the accuracy of gene discovering; explores the gene beneficial properties most typically captured by way of a computational gene version, and explains the fundamentals of parameter education; illustrates how you can enforce a comparative gene finder; examines NGS innovations and the way to construct a genome annotation pipeline.

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