Statistical Population Genomics
Springer-Verlag New York Inc.
978-1-0716-0198-3 (ISBN)
Authoritative and cutting-edge, Statistical Population Genomics aims to promote and ensure successful applications of population genomic methods to an increasing number of model systems and biological questions.
A Population Genomics Lexicon.- Processing and Analyzing Multiple Genomes Alignments with MafFilter.- Data Management and Summary Statistics with PLINK.- Exploring Population Structure with Admixture Models and Principal Components Analysis.- Detecting Positive Selection in Populations using Genetic Data.- polyDFE: Inferring the Distribution of Fitness Effects and Properties of Beneficial Mutations from Polymorphism Data.- MSMC and MSMC2: The Multiple Sequentially Markovian Coalescent.-Ancestral Population Genomics with Jocx, A Coalescent Hidden Markov Model.- Coalescent Simulation with sprime.- Inference of Ancestral Recombination Graphs using ARGweaver.- Population Genomics of Transitions to Selfing in Brassicaceae Model Systems.- Genomics of Long- and Short- Term Adaptation in Maize and Teosinte.- Neurospora from Natural Populations: Population Genomics Insights Into the Life History of a Model Microbial Eukaryote.- Population Genomics of Fungal Plant Pathogens and the Analyses of Rapidly Evolving Genome Compartments.- Population Genomics on the Fly: Recent Advances in Drosophila.- Genomic Access to the Diversity of Fishes.- Avian Population Genomics Taking Off: Latest Findings and Future Prospects.- Population Genomics of the House Mouse and the Brown Rat.- Population Genomics in the Great Apes.
Erscheinungsdatum | 30.12.2019 |
---|---|
Reihe/Serie | Methods in Molecular Biology ; 2090 |
Zusatzinfo | 98 Illustrations, color; 105 Illustrations, black and white; XII, 468 p. 203 illus., 98 illus. in color. |
Verlagsort | New York, NY |
Sprache | englisch |
Maße | 178 x 254 mm |
Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
Informatik ► Weitere Themen ► Bioinformatik | |
Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie | |
ISBN-10 | 1-0716-0198-9 / 1071601989 |
ISBN-13 | 978-1-0716-0198-3 / 9781071601983 |
Zustand | Neuware |
Haben Sie eine Frage zum Produkt? |
aus dem Bereich