Gene discovery for disease models

This book provides readers with new paradigms on the mutation discovery in the postgenome era. The completion of human and other genome sequencing, along with other new technologies, such as mutation analysis and microarray, has dramatically accelerated the progress in positional cloning of genes fr...

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Bibliographic Details
Group Author: Gu, Weikuan
Published:
Literature type: Electronic eBook
Language: English
Subjects:
Online Access: http://onlinelibrary.wiley.com/book/10.1002/9780470933947
Summary: This book provides readers with new paradigms on the mutation discovery in the postgenome era. The completion of human and other genome sequencing, along with other new technologies, such as mutation analysis and microarray, has dramatically accelerated the progress in positional cloning of genes from mutated models. In 2002, the Mouse Genome Sequencing Consortium stated that âThe availability of an annotated mouse genome sequence now provides the most efficient tool yet in the gene hunter's toolkit. One can move directly from genetic mapping to identification of candidate genes, and the e
Carrier Form: 1 online resource (xiii, 537 pages, [15] pages of plates) : color illustrations
Bibliography: Includes bibliographical references and index.
ISBN: 9780470933947 (electronic bk.)
0470933941 (electronic bk.)
9780470933930 (electronic bk.)
0470933933 (electronic bk.)
128298974X
9781282989740
Index Number: RB155
CLC: R394
Contents: Introduction : gene discovery-from positional cloning to genomic cloning -- High throughput gene expression analysis and the identification of expression QTLs -- DNA methylation in the pathogenesis of autoimmunity -- Ccell-based analysis with microfluidic chip -- Missing dimension : protein turnover rate measurement in gene discovery -- Bioinformatics tools for the prediction of gene function -- Determination of genomic locations of targeted genetic loci -- Mutation discovery using high throughput mutation screening technology -- Candidate screening through gene expression profile -- Candida