Statistical Genomics

Sean Davis

ISBN 10: 1493980831 / ISBN 13: 9781493980833

Published by Springer New York Apr 2018, 2018

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -This volume expands on statistical analysis of genomic data by discussing cross-cutting groundwork material, public data repositories, common applications, and representative tools for operating on genomic data.Statistical Genomics: Methods and Protocolsis divided into four sections. The first section discusses overview material and resources that can be applied across topics mentioned throughout the book. The second section covers prominent public repositories for genomic data. The third section presents several different biological applications of statistical genomics, and the fourth section highlights software tools that can be used to facilitate ad-hoc analysis and data integration. Written in the highly successfulMethods in Molecular Biologyseries format, chapters include introductions to their respective topics, step-by-step, readily reproducible analysis protocols, and tips on troubleshooting and avoiding known pitfalls.Through and practical,Statistical Genomics: Methods and Protocols,explores a range of both applications and tools and is ideal for anyone interested in the statistical analysis of genomic data. 432 pp. Englisch.

Seller Inventory # 9781493980833

Bibliographic Details

• Title: Statistical Genomics
• Publisher: Springer New York Apr 2018
• Publication Date: 2018
• Language: English
• ISBN 10: 1493980831
• ISBN 13: 9781493980833
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 254W x 178H x 24D millimeters 254 millimeters width by 178 millimeters height by 24 millimeters depth
• Weight: 808 grams

About this title

Synopsis

This volume expands on statistical analysis of genomic data by discussing cross-cutting groundwork material, public data repositories, common applications, and representative tools for operating on genomic data. Statistical Genomics: Methods and Protocols is divided into four sections. The first section discusses overview material and resources that can be applied across topics mentioned throughout the book. The second section covers prominent public repositories for genomic data. The third section presents several different biological applications of statistical genomics, and the fourth section highlights software tools that can be used to facilitate ad-hoc analysis and data integration. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, step-by-step, readily reproducible analysis protocols, and tips on troubleshooting and avoiding known pitfalls.

Through and practical, Statistical Genomics: Methods and Protocols, explores a range of both applications and tools and is ideal for anyone interested in the statistical analysis of genomic data.