Statistical Genomics : Methods and Protocols

Sean Davis

ISBN 10: 1493935763 / ISBN 13: 9781493935765

Published by Springer New York, Springer New York, 2016

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9781493935765

Bibliographic Details

• Title: Statistical Genomics : Methods and Protocols
• Publisher: Springer New York, Springer New York
• Publication Date: 2016
• Language: English
• ISBN 10: 1493935763
• ISBN 13: 9781493935765
• Binding: Buch
• Condition: Neu

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.