| #5544193 in Books | 2015-04-14 | Original language:English | PDF # 1 | 9.21 x.94 x6.14l,.0 | File type: PDF | 382 pages||||“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 bi
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. ...
You easily download any file type for your device.Comparative Gene Finding: Models, Algorithms and Implementation (Computational Biology) | Marina Axelson-Fisk.Not only was the story interesting, engaging and relatable, it also teaches lessons.
