Population genomics with R. (2020)

• Record Type: Book
• Further Information: Note: Emmanuel Paradis.
• Authors: Paradis, Emmanuel
• Contents: 1. Introduction Heredity, Genetics, and Genomics Principles of Population Genomics Units Genome Structures Mutations Drift and Selection R Packages and Conventions Required Knowledge and Other Readings 2. Data Acquisition Samples and Sampling Designs How Much DNA in a Sample? Degraded Samples Sampling Designs Low-Throughput Technologies Genotypes From Phenotypes DNA Cleavage Methods Repeat Length Polymorphism Sanger and Shotgun Sequencing DNA Methylation and Bisulfite Sequencing High-Throughput Technologies DNA Microarrays High-Throughput Sequencing Restriction Site Associated DNA RNA Sequencing Exome Sequencing Sequencing of Pooled Individuals Designing a Study With HTS The Future of DNA Sequencing File Formats Data Files Archiving and Compression Bioinformatics and Genomics Processing Sanger Sequencing Data With sangerseqR Read Mapping With Rsubread Managing Read Alignments With Rsamtools Simulation of High-Throughput Sequencing Data Exercises 3. Genomic Data in R What is an R Data Object? Data Classes for Genomic Data The Class "loci" (pegas) The Class "genind" (adegenet) The Classes "SNPbin" and "genlight" (adegenet) The Class "SnpMatrix" (snpStats) The Class "DNAbin" (ape) The Classes "XString" and "XStringSet" (Biostrings) The Package SNPRelate Data Input and Output Reading Text Files Reading Spreadsheet Files Reading VCF Files Reading PED and BED Files Reading Sequence Files Reading Annotation Files Writing Files Internet Databases Managing Files and Projects Exercises 4. Data Manipulation Basic Data Manipulation in R Subsetting, Replacement, and Deletion Commonly Used Functions Recycling and Coercion Logical Vectors Memory Management Conversions Case Studies Mitochondrial Genomes of the Asiatic Golden Cat Complete Genomes of the Fruit Fly Human Genomes Influenza HN Virus Sequences Jaguar Microsatellites Bacterial Whole Genome Sequences Metabarcoding of Fish Communities Exercises 5. Data Exploration and Summaries Genotype and Allele Frequencies Allelic Richness Missing Data Haplotype and Nucleotide Diversity The Class "haplotype" Haplotype and Nucleotide Diversity From DNA Sequences Genetic and Genomic Distances Theoretical Background Hamming Distance Distances From DNA Sequences Distances From Allele Sharing Distances From Microsatellites Summary by Groups Sliding Windows DNA Sequences Summaries With Genomic Positions Package SNPRelate Multivariate Methods Matrix Decomposition Eigendecomposition Singular Value Decomposition Power Method and Random Matrices Principal Component Analysis adegenet SNPRelate flashpcaR Multidimensional Scaling Case Studies Mitochondrial Genomes of the Asiatic Golden Cat Complete Genomes of the Fruit Fly Human Genomes Influenza HN Virus Sequences Jaguar Microsatellites Bacterial Whole Genome Sequences Metabarcoding of Fish Communities Exercises 6. Linkage Disequilibrium and Haplotype Structure Why Linkage Disequilibrium is Important? Linkage Disequilibrium: Two Loci Phased Genotypes Theoretical Background Implementation in pegas Unphased Genotypes More Than Two Loci Haplotypes From Unphased Genotypes The Expectation–Maximization Algorithm Implementation in haplostats Locus-Specific Imputation Maps of Linkage Disequilibrium Phased Genotypes With pegas SNPRelate snpStats Case Studies Complete Genomes of the Fruit Fly Human Genomes Jaguar Microsatellites Exercises 7. Population Genetic Structure Hardy–Weinberg Equilibrium F -Statistics Theoretical Background Implementations in pegas and in mmod Implementations in snpStats and in SNPRelate Trees and Networks Minimum Spanning Trees and Networks Statistical Parsimony Median Networks Phylogenetic Trees Multivariate Methods Principles of Discriminant Analysis Discriminant Analysis of Principal Components Clustering Maximum Likelihood Methods Bayesian Clustering Admixture Likelihood Method Principal Component Analysis of Coancestry A Second Look at F -Statistics Case Studies Mitochondrial Genomes of the Asiatic Golden Cat Complete Genomes of the Fruit Fly Influenza HN Virus Sequences Jaguar Microsatellites Exercises 8. Geographical Structure Geographical Data in R Packages and Classes Calculating Geographical Distances A Third Look at F -Statistics Hierarchical Components of Genetic Diversity Analysis of Molecular Variance Moran I and Spatial Autocorrelation Spatial Principal Component Analysis Finding Boundaries Between Populations Spatial Ancestry (tessr) Bayesian Methods (Geneland) Case Studies Complete Genomes of the Fruit Fly Human Genomes Exercises 9. Past Demographic Events The Coalescent The Standard Coalescent The Sequential Markovian Coalescent Simulation of Coalescent Data Estimation of _ Heterozygosity Number of Alleles Segregating Sites Microsatellites Trees Coalescent-Based Inference Maximum Likelihood Methods Analysis of Markov Chain Monte Carlo Outputs Skyline Plots Bayesian Methods Heterochronous Samples Site Frequency Spectrum Methods The Stairway Method CubSFS Popsicle Whole-Genome Methods (psmcr) Case Studies Mitochondrial Genomes of the Asiatic Golden Cat Complete Genomes of the Fruit Fly Influenza HN Virus Sequences Bacterial Whole Genome Sequences Exercises 10. Natural Selection Testing Neutrality Simple Tests Selection in Protein-Coding Sequences
• Edition: 1st
• Publisher Details: Boca Raton : Chapman & Hall/CRC
• Publication Date: 2020
• Extent: 1 online resource
• Subjects: 576.58; Population genetics; Metagenomics; Sequence alignment (Bioinformatics)
• Languages: English
• ISBNs: 9780429882425; 9780429882432; 9780429882418; 9780429466700
• Related ISBNs: 9781138608184
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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