Statistical Genomics: Methods and Protocols
Ewy Mathe
Verkauft von THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich
AbeBooks-Verkäufer seit 14. Juni 2006
Neu - Softcover
Zustand: Neu
Anzahl: Mehr als 20 verfügbar
In den Warenkorb legenVerkauft von THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich
AbeBooks-Verkäufer seit 14. Juni 2006
Zustand: Neu
Anzahl: Mehr als 20 verfügbar
In den Warenkorb legenThis item is printed on demand. New copy - Usually dispatched within 5-9 working days 809.
Bestandsnummer des Verkäufers C9781493980833
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.
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.
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