This unique textbook provides a clear and concise overview of the key principles of the complex field of phylogenomics, with a particular focus on sequencing technologies that are crucial to studying and understanding interrelations in evolutionary genomics. It includes chapters dedicated to the analysis of nucleotide sequences using assembling and alignment methods and also discusses the main strategies for phylogenetic studies, systematic errors and their correction. This highly readable textbook is intended for graduate students and young researchers with an interest in phylogenetics and evolutionary developmental biology.

Written by one of the top most statisticians with experience in diverse fields of applications of statistics, the book deals with the philosophical and methodological aspects of information technology, collection and analysis of data to provide insight into a problem, whether it is scientific research, policy making by government or decision making in our daily lives.The author dispels the doubts that chance is an expression of our ignorance which makes accurate prediction impossible and illustrates how our thinking has changed with quantification of uncertainty by showing that chance is no longer the obstructor but a way of expressing our knowledge. Indeed, chance can create and help in the investigation of truth. It is eloquently demonstrated with numerous examples of applications that statistics is the science, technology and art of extracting information from data and is based on a study of the laws of chance. It is highlighted how statistical ideas played a vital role in scientific and other investigations even before statistics was recognized as a separate discipline and how statistics is now evolving as a versatile, powerful and inevitable tool in diverse fields of human endeavor such as literature, legal matters, industry, archaeology and medicine.Use of statistics to the layman in improving the quality of life through wise decision making is emphasized.

Phylogenomics: A Primer, Second Edition is for advanced undergraduate and graduate biology students studying molecular biology, comparative biology, evolution, genomics, and biodiversity. This book explains the essential concepts underlying the storage and manipulation of genomics level data, construction of phylogenetic trees, population genetics, natural selection, the tree of life, DNA barcoding, and metagenomics. The inclusion of problem-solving exercises in each chapter provides students with a solid grasp of the important molecular and evolutionary questions facing modern biologists as well as the tools needed to answer them.

Phylogenomics: Foundations, Methods, and Pathogen Analysis offers a deep overview of phylogenomics as a field, compelling recent developments, and detailed methods and approaches for conducting new research. Early chapters introduce phylogenomic taxonomies of organisms and pathogens, phylogenomic networks, phylogenomics of virus virulence, and ancient DNA analysis, with a second section offering methods, detailed descriptions and step-by-step instruction in genome assembly and annotation, horizontal gene transfer studies, Bayesian evaluation, phylogenetic tree building, microbial evolution modeling, and molecular epidemiology. The book's final section offers various examples of phylogenomic analysis across medically significant bacteria and viruses, including Yersinia pestis, Salmonella, Shigella, Vibrio cholera, and Mycobacterium tuberculosis, amongst others. - Offers a full overview of phylogenetics and phylogenomics, from its foundations to methods and specialized case studies - Presents methodologies and algorithms for phylogenomic research studies and analyzes medically significant microorganisms - Considers examples of phylogenomic analysis across a range of medically significant pathogens - Includes chapter contributions from leading international experts

Fungal Phylogenetics and Phylogenomics, Volume 100, the latest release in the Advances in Genetics series, presents users with new chapters that delve into such topics as the Advances of fungal phylogenomics and the impact on fungal systematics, Data crunching for fungal phylogenomics: insights into data collection and phylogenetic inference based on genome data for fungi, Genomic and epigenomic traits of emerging fungal pathogens, Advances in fungal gene cluster diversity and evolution, Phylogenomics of Fusarium oxysporum species complex, Phylogenomic analyses of pathogenic yeasts, and the Phylogenetics and phylogenomics of rust fungi. The series continually publishes important reviews of the broadest interest to geneticists and their colleagues in affiliated disciplines, critically analyzing future directions. - Critically analyzes future directions for the study of clinical genetics - Written and edited by recognized leaders in the field - Presents new medical breakthroughs that are occurring as a result of advances in our knowledge of genetics

Phylogenomics is a rapidly growing field of study concerned with using genome-wide data—usually in the form of DNA sequence loci—to infer the evolution of genes, genomes, and the Tree of Life. Accordingly, this discipline connects many areas in biology including molecular and genomic evolution, systems biology, molecular systematics, phylogeography, conservation genetics, DNA barcoding, and others. With the advent of Next Generation Sequencing in addition to advances in computer hardware and software over the past decade, researchers can now generate unparalleled phylogenomic datasets that are helping to illuminate many areas in the life sciences. This book is an introduction to the principles and practices of gathering these data. Phylogenomic Data Acquisition: Principles and Practice is intended for a broad cross-section of biologists and anyone else interested in learning how to obtain phylogenomic data using the latest methods.

The past decade has seen the emergence of a new field of scientific inquiry at the intersection of phylogenetics and genomics - phylogenomics. This collection of protocols and resources describes many of the molecular methods and bioinformatics tools that have brought this field to fruition.

This volume presents a compelling collection of state-of-the-art work in algorithmic computational biology, honoring the legacy of Professor Bernard M.E. Moret in this field. Reflecting the wide-ranging influences of Prof. Moret’s research, the coverage encompasses such areas as phylogenetic tree and network estimation, genome rearrangements, cancer phylogeny, species trees, divide-and-conquer strategies, and integer linear programming. Each self-contained chapter provides an introduction to a cutting-edge problem of particular computational and mathematical interest. Topics and features: addresses the challenges in developing accurate and efficient software for the NP-hard maximum likelihood phylogeny estimation problem; describes the inference of species trees, covering strategies to scale phylogeny estimation methods to large datasets, and the construction of taxonomic supertrees; discusses the inference of ultrametric distances from additive distance matrices, and the inference of ancestral genomes under genome rearrangement events; reviews different techniques for inferring evolutionary histories in cancer, from the use of chromosomal rearrangements to tumor phylogenetics approaches; examines problems in phylogenetic networks, including questions relating to discrete mathematics, and issues of statistical estimation; highlights how evolution can provide a framework within which to understand comparative and functional genomics; provides an introduction to Integer Linear Programming and its use in computational biology, including its use for solving the Traveling Salesman Problem. Offering an invaluable source of insights for computer scientists, applied mathematicians, and statisticians, this illuminating volume will also prove useful for graduate courses on computational biology and bioinformatics.

Phylogenetics often uncovers contradicting hypotheses regarding the relationships within the same group of organisms, a phenomenon known since the beginning of the molecular systematics era. While, historically, single marker-based analyses produced discordance, nowadays entire cellular genomes or portions of the same genomic compartment conflict with others or the rest, respectively. In contrast to the beginning of the molecular systematics era, when adding markers and taxa offered a way out of systematic errors, genome inference-based incongruences cannot be addressed and explained easily. Disagreeing phylogenomic hypotheses might originate from various evolutionary processes, including but not limited to hybridization or incomplete lineage sorting, thereby leading to gene tree-versus species tree-associated discrepancies. Today, this can be expanded to genome discordance, where phylogenomic signals of organellar genomes (plastid, mitochondrial) and the nuclear genome disagree due to intrinsically different coalescent paths or phenomena like organelle capture.