This volume bridges the gap between standard genetics textbooks and highly specialised, technical, and advanced treatments of the sub-disciplines. Bioinformatic principles and experimental strategies are explained side-by-side with the experimental methods to facilitate topic exploration.
This volume bridges the gap between standard genetics textbooks and highly specialised, technical, and advanced treatments of the subdisciplines. It provides an affordable and up-to-date introduction to the field that is suited to advanced undergraduate or early graduate courses. Bioinformatic principles and experimental strategies are explained side-by-side with the experimental methods, establishing a framework that allows teachers to explore topics and the literature at their own pace.
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GREG GIBSON, North Carolina State University. - SPENCER MUSE, North Carolina State University.
Table of Contents
PART 1: GENOME PROJECTS: ORGANIZATION AND OBJECTIVES - The Human Genome Project - Animal Genome Projects - Plant Genome Projects - Microbial Genome Projects - Boxes - Flat File and Relational Databases - GenBank Files - PART 2: GENOME SEQUENCING AND ANNOTATION - Automated Sequencing - Genome Sequencing - Genome Annotation - Clustering of Gene Families - Boxes - Alignment Algorithms and Tools - BLAST and Alignment Implementation - Hidden Markov Models and Gene Finding - Fundamentals of Phylogenetic Methods - PART 3: GENE EXPRESSION AND THE TRANSCRIPTOME - Parallel Analysis of Gene Expression: Microarrays and Oligonucleotide Arrays SAGE, Microbeads, and Differential Display - Gene-by-Gene Analysis - Properties of Transcriptomes - Boxes - Image Extraction for Microarray Analysis - Clustering Methods - Identification of Regulatory Motifs - PART 4: PROTEOMICS AND FUNCTIONAL GENOMICS - Functional Proteomics - Structural Proteomics - Protein Interaction Maps - High Throughput Forward and Reverse Genetics - Boxes - Domain Profiling - Construction of Transgenic Animals and Plants - PART 5: SNPs AND VARIATION - Single-Nucleotide Polymorphisms - Applications of SNP Technology - SNP Discovery - SNP Genotyping - Boxes - Linkage Disequilibrium Measures - Population-based Association Statistics - Transmission Disequilibrium Test Statistics - PART 6: COMPUTATIONAL GENOMICS - Metabolomics - In silico Genomics
A Primer in Genome Sciences by Greg Gibson
Used - Well Read
Sinauer Associates Inc.,U.S.
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