Genomic and Phenomic Tools for Livestock Genome Analysis

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Details

In the era of genomic revolution the benefit can be reaped by successful integration of livestock genomics & phenomics to improve the productivity. This book covers various aspects of surveying, performance recording & breed descriptor development. It also includes: Phenotypic scoring-function for breed Identification; Genetic diversity analysis by STR; Breed registration in India; Analysis of milk quality traits by HPLC & GLC; Milk cells as indicator of mastitis; Application of linear & non-linear models in animal breeding; Data analysis using SYSTAT & HARVEY S software; Estimation of breeding values for animal selections; Molecular markers for goat fecundity; Next generation sequencing; SNP chip development & genome wide association studies; Breed DNA signature by computational approach; Neural computation; Proteomics & its application; SNP discovery & association studies; In silico modeling of non-synonymous SNPs & prediction of protein structure & function; Microarrays in livestock research, Molecular modeling & drug designing; Stem cell & cloning of animal. This book is rare of its kind for beginners of research & future livestock molecular breeders for conceptualization.

Autorentext
Dr SP Dixit, Principal Scientist & Dr S Jayakumar, Scientist are working at National Bureau of Animal Genetic Resources, India. Their research interests are in biodiversity analysis & association of the genetic markers with economic traits in livestock. Dr Dinesh Kumar, Senior Scientist is working at IASRI, New Delhi in the field of bioinformatics.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783659284182
    • Editor Satpal Dixit, Sivalingam Jayakumar, Dinesh Kumar
    • Sprache Englisch
    • Größe H220mm x B220mm x T150mm
    • Jahr 2012
    • EAN 9783659284182
    • Format Kartonierter Einband (Kt)
    • ISBN 978-3-659-28418-2
    • Titel Genomic and Phenomic Tools for Livestock Genome Analysis
    • Herausgeber LAP Lambert Academic Publishing
    • Anzahl Seiten 212
    • Genre Biologie

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