Statistical Genomics : Methods and Protocols

Sean Davis

ISBN 10: 1493935763 / ISBN 13: 9781493935765

Edité par Springer New York, Springer New York, 2016

A propos de cet article

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. N° de réf. du vendeur 9781493935765

Détails bibliographiques

Titre : Statistical Genomics : Methods and Protocols

Éditeur : Springer New York, Springer New York

Date d'édition : 2016

Reliure : Buch

Etat : Neu

A propos de ce titre

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.