Buch, Englisch, Band 855, 467 Seiten, Previously published in hardcover, Format (B × H): 178 mm x 254 mm, Gewicht: 1236 g
Reihe: Methods in Molecular Biology
Statistical and Computational Methods, Volume 1
Buch, Englisch, Band 855, 467 Seiten, Previously published in hardcover, Format (B × H): 178 mm x 254 mm, Gewicht: 1236 g
Reihe: Methods in Molecular Biology
ISBN: 978-1-4939-5908-2
Verlag: Humana Press
Together with early theoretical work in population genetics, the debate on sources of genetic makeup initiated by proponents of the neutral theory made a solid contribution to the spectacular growth in statistical methodologies for molecular evolution. Evolutionary Genomics: Statistical and Computational Methods is intended to bring together the more recent developments in the statistical methodology and the challenges that followed as a result of rapidly improving sequencing technologies. Presented by top scientists from a variety of disciplines, the collection includes a wide spectrum of articles encompassing theoretical works and hands-on tutorials, as well as many reviews with key biological insight. Volume 1 includes a helpful introductory section of bioinformatician primers followed by detailed chapters detailing genomic data assembly, alignment, and homology inference as well as insights into genome evolution from statistical analyses. Written in the highly successful Methods in Molecular Biology™ series format, this work provides the kind of advice on methodology and implementation that is crucial for getting ahead in genomic data analyses.
Comprehensive and cutting-edge, Evolutionary Genomics: Statistical and Computational Methods is a treasure chest of state-of the-art methods to study genomic and omics data, certain to inspire both young and experienced readers to join the interdisciplinary field of evolutionary genomics.Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
- Naturwissenschaften Biowissenschaften Biowissenschaften Evolutionsbiologie
- Naturwissenschaften Biowissenschaften Biowissenschaften Genetik und Genomik (nichtmedizinisch)
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Vorklinische Medizin: Grundlagenfächer Humangenetik
- Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
Weitere Infos & Material
Introduction to Genome Biology: Features, Processes, and Structures.- Diversity of Genome Organization.- Probability, Statistics, and Computational Science.- The Essentials of Computational Molecular Evolution.- Next-Generation Sequencing Technologies and Fragment Assembly Algorithms.- Gene Prediction.- Alignment Methods: Strategies, Challenges, Benchmarking, and Comparative Overview.- Whole-Genome Alignment.- Inferring Orthology and Paralogy.- Detecting Laterally Transferred Genes.- Genome Evolution in Outcrossing Vs. Selfing Vs. Asexual Species.- Transposable Elements And Their Identification.- Evolution of Genome Content: Population Dynamics of Transposable Elements in Flies and Humans.- Detection and Phylogenetic Assessment of Conserved Synteny Derived from Whole Genome Duplications.- Analysis of Gene Order Evolution Beyond Single-Copy Genes.- Discovering Patterns in Gene Order.
