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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