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Applied computational genomics

著者: Yin Yao Shugart
出版商: Dordrecht ; New York : Springer Science + Business Media, ©2012.
丛书: Translational bioinformatics, v. 1.
版本/格式:   电子图书 : 文献 : 英语查看所有的版本和格式
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提要:
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  再读一些...
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类型/形式: Electronic books
Congresses
附加的形体格式: Print version:
Shugart, Yin Yao.
Applied Computational Genomics.
Dordrecht : Springer, ©2012
材料类型: 文献, 互联网资源
文件类型: 互联网资源, 计算机文档
所有的著者/提供者: Yin Yao Shugart
ISBN: 9789400755581 9400755589
OCLC号码: 823726928
描述: 1 online resource (195 pages).
内容: 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.
丛书名: Translational bioinformatics, v. 1.
责任: editor, Yin Yao Shugart.
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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  再读一些...

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