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Applied computational genomics

Auteur : Yin Yao Shugart
Éditeur : Dordrecht ; New York : Springer Science + Business Media, ©2012.
Collection : Translational bioinformatics, v. 1.
Édition/format :   Livre électronique : Document : AnglaisVoir toutes les éditions et les formats
Base de données :WorldCat
Résumé :
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  Lire la suite...
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Détails

Genre/forme : Electronic books
Congresses
Format – détails additionnels : Print version:
Shugart, Yin Yao
Applied Computational Genomics
Dordrecht : Springer, c2012
Type d’ouvrage : Document, Ressource Internet
Format : Ressource Internet, Fichier informatique
Tous les auteurs / collaborateurs : Yin Yao Shugart
ISBN : 9789400755581 9400755589
Numéro OCLC : 823726928
Description : 1 online resource (195 p.)
Contenu : 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.
Titre de collection : Translational bioinformatics, v. 1.
Responsabilité : editor, Yin Yao Shugart.
Plus d’informations :

Résumé :

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  Lire la suite...

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