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Applied computational genomics

Autor Yin Yao Shugart
Vydavatel: Dordrecht ; New York : Springer Science + Business Media, ©2012.
Edice: Translational bioinformatics, v. 1.
Vydání/formát:   e-kniha : Document : EnglishZobrazit všechny vydání a formáty
Databáze:WorldCat
Shrnutí:
Applied Computational Genomics' focuses on an in-depth review of statistical development and application in the area of human genomics including candidate gene mapping, linkage analysis, population-based, genome-wide association, exon sequencing and whole genome sequencing analysis. The authors are extremely experienced in the area of statistical genomics and will give a detailed introduction of the evolution in the  Přečíst více...
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Detaily

Žánr/forma: Electronic books
Congresses
Doplňující formát: Print version:
Shugart, Yin Yao
Applied Computational Genomics
Dordrecht : Springer, c2012
Typ materiálu: Document, Internetový zdroj
Typ dokumentu: Internet Resource, Computer File
Všichni autoři/tvůrci: Yin Yao Shugart
ISBN: 9789400755581 9400755589
OCLC číslo: 823726928
Popis: 1 online resource (195 p.)
Obsahy: Ch. 1: Introduction --
Ch. 2: Concepts of genetic epidemiology --
Ch. 3: Integration of linkage analysis and next-generation sequencing data --
Ch. 4: From family study to population study: a history of genetic mapping for nasopharyngeal carcinoma (NPC) --
Ch. 5: QTL mapping of molecular traits for studies of human complex diseases --
Ch. 6: Renewed interest in haplotype: from genetic marker to gene prediction --
Ch. 7: Analytical approaches for exome sequence data --
Ch. 8: Rare variants analysis in unrelated individuals --
Ch. 9: Gene duplication and functional consequences --
Ch. 10: From GWAS to next-generation sequencing on human complex diseases: the implications for translational medicine and therapeutics.
Název edice: Translational bioinformatics, v. 1.
Odpovědnost: editor, Yin Yao Shugart.
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Anotace:

This book offers an in-depth review of statistical development and application in the area of human genomics including candidate gene mapping, linkage analysis, population-based, genome-wide  Přečíst více...

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