Statistical Genomics

Sean Davis

ISBN 10: 1493980831 / ISBN 13: 9781493980833

Editore: Springer New York, Springer US Apr 2018, 2018

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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 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.Humana Press in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 432 pp. Englisch.

Codice articolo 9781493980833

Dati bibliografici

• Titolo: Statistical Genomics
• Editore: Springer New York, Springer US Apr 2018
• Data di pubblicazione: 2018
• Lingua: Inglese
• ISBN 10: 1493980831
• ISBN 13: 9781493980833
• Rilegatura: Taschenbuch
• Condizione: Neu

Descrizione articolo

Riassunto

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.