Beschreibung

This unique text/reference describes the state of the art in computational gene finding, with a particular focus on comparative approaches. Providing both an overview of the various methods that are applied in the field, and a concise guide on how computational gene finders are built, the book covers a broad range of topics from probability theory, statistics, information theory, optimization theory and numerical analysis. Features: describes how algorithms and sequence alignments can be combined to improve the accuracy of gene finding; introduces the basic biological terms and concepts in genetics, and provides an historical overview of algorithm development; explores the gene features most commonly captured by a computational gene model; discusses the algorithms most commonly used for single-species gene finding; investigates approaches to pairwise and multiple sequence alignments; explains the basics of parameter training; illustrates how to implement a comparative gene finder.

Rezensionen ( 0 )
Every Friday we give gifts for the best reviews.
The winner is announced on the pages of ReadRate in social networks.
Zitate (0)
Sie können als Erste ein Zitat veröffentlichen.
Top