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Bioinformatics: Volume I: Data, Sequence Analysis, and Evolution (Methods in

Description: This second edition provides updated and expanded chapters covering a broad sampling of useful and current methods in the rapidly developing and expanding field of bioinformatics. Bioinformatics, Volume I: Data, Sequence Analysis, and Evolution, Second Edition is comprised of three sections: Data and Databases, Sequence Analysis, and Phylogenetics and Evolution. The first section details bioinformatics methodologies in the generation of sequence and structural data and its organization into conceptual categories, and databases to facilitate further analyses. The Sequence Analysis section describes the fundamental methodologies for processing the sequences of biological molecules: techniques that are used in almost every pipeline of bioinformatics analysis, particularly in the preliminary stages of such pipelines. Last but not least, the phylogenetics and evolution section deals with methodologies that compare biological sequences for the purpose of understanding how they evolved. As a volume in the highly successful Methods in Molecular Biology series, chapters feature the kind of detail and expert implementation advice to ensure positive results. Comprehensive and practical, Bioinformatics, Volume I: Data, Sequence Analysis, and Evolution, Second Edition is an essential resource for graduate students, early career researchers, and others who are in the process of integrating new bioinformatics methods into their research. Preface... Table of Contents... Contributing Authors... Part I Data and Databases 1. Genome Sequencing Mansi Verma, Samarth Kulshreshtha, and Ayush Puri 2. Sequence Assembly Xiaoqiu Huang 3. A Practical Approach to Protein Crystallography Andrea Ilari and Carmelinda Savino 4. Managing Sequence Data Christopher O'Sullivan, Benjamin Busby, and Ilene Karsch Mizrachi 5. Genome Annotation Imad Abugessaisa, Takeya Kasukawa, and Hideya Kawaji 6. Working with Ontologies Frank Kramer and Tim Beißbarth 7. The Classification of Protein Domains Natalie L. Dawson, Ian Sillitoe, Russell L. Marsden, and Christine A. Orengo Part II Sequence Analysis 8. Multiple Sequence Alignment Punto Bawono, Maurits Dijkstra, Walter Pirovano, Anton Feenstra, Sanne Abeln, and Jaap Heringa 9. Large-Scale Sequence Comparison Devi Lal and Mansi Verma 10. Genomic Database Searching James R. A. Hutchins 11. Finding Genes in Genome Sequence Alice Carolyn McHardy and Andreas Kloetgen 12. Sequence Segmentation with changeptGUI Edward Tasker and Jonathan M. Keith Part III Phylogenetics and Evolution 13. Measuring Natural Selection Anders Gonçalves da Silva 14. Inferring Trees Simon Whelan and David A. Morrison 15. Identifying Optimal Models of Evolution Lars S. Jermiin, Vivek Jayaswal, Faisal M. Ababneh, and John Robinson 16. Scaling Up the Phylogenetic Detection of Lateral Gene Transfer Events Cheong Xin Chan, Robert G. Beiko, and Mark A. Ragan 17. Detecting and Analyzing Genetic Recombination Using RDP4 Darren P. Martin, Ben Murrell, Arjun Khoosal, and Brejnev Muhire 18. Species Tree Estimation from Genome-Wide Data with Guenomu Leonardo de Oliveira Martins and David Posada

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Bioinformatics: Volume I: Data, Sequence Analysis, and Evolution (Methods inBioinformatics: Volume I: Data, Sequence Analysis, and Evolution (Methods in

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EAN: 9781493966202

UPC: 9781493966202

ISBN: 9781493966202

MPN: N/A

Item Length: 25.4 cm

Number of Pages: 491 Pages

Publication Name: Bioinformatics: Volume I: Data, Sequence Analysis, and Evolution

Language: English

Publisher: Humana Press Inc.

Item Height: 254 mm

Subject: Engineering & Technology, Biology

Publication Year: 2016

Type: Textbook

Item Weight: 1512 g

Author: Jonathan M. Keith

Item Width: 178 mm

Format: Hardcover

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