Decoding Genomes: From Sequences to Phylodynamics

By Prof Tanja Stadler, Dr Jūlija Pečerska, Dr Carsten Magnus

DECODING GENOMES demonstrates how to uncover information about past evolutionary and population dynamic processes based on genomic samples. The last decades have seen considerable theoretical and methodological advances in this area. These enable the assessment of critical scientific questions such as the impact of environmental changes on biodiversity and the evolution of pathogens during recent epidemics. The book gives the reader a detailed understanding of the whole process: from genome sampling to obtaining biological insights by applying sophisticated statistical and computational analyses. In particular, sequencing of genomic samples, the alignment of sequences, molecular evolution models, phylogenetics, and phylodynamics are core topics. Statistical and computational approaches discussed include dynamic programming, maximum likelihood, Bayesian statistics, and model selection, to name a few. The concepts introduced and applied throughout the book enable readers to answer questions across biological scales, including microevolution, macroevolution, immunology, development, cancer, and epidemiology, as well as in fields other than biology where evolutionary concepts are key, such as linguistics. Target audience. The book is for students and researchers who aim to analyse genomic sequence data or develop statistical and computational approaches for such analyses. The content is tailored to readers from a wide variety of backgrounds, ranging from mathematics and statistics, computer science, or physics to biology, and, more generally, the life sciences. The authors. All authors are or have been part of the Computational Evolution group at ETH Zürich, which is widely recognised as one of the leading teams in developing evolutionary and population dynamic models for analysing genomic data. Their various backgrounds -- including mathematics, computer science, physics, and biology -- help make this work accessible to a broad audience. For additional information please visit https://decodinggenomes.org/.

• Format: Paperback
• Language: English
• ISBN: B0D3BPB85C
• ISBN13: 9798324659998
• Release Date: May 2024
• Publisher: Independently published
• Length: 412 Pages
• Weight: 1.94 lbs.
• Dimensions: 9.3" x 0.9" x 7.5"