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The Phylogenetic Handbook
A broad, hands on guide with detailed explanations of current methodology, relevant exercises and popular software tools.
Breathless
"The story of the worldwide scientific quest to decipher the coronavirus SARS-CoV-2, trace its source, and make possible the vaccines to fight the Covid-19 pandemic"--Provided by publisher.
The Routledge Handbook of Historical Linguistics
The Routledge Handbook of Historical Linguistics provides a survey of the field covering the methods which underpin current work; models of language change; and the importance of historical linguistics for other subfields of linguistics and other disciplines. Divided into five sections, the volume encompass a wide range of approaches and addresses issues in the following areas: historical perspectives methods and models language change interfaces regional summaries Each of the thirty-two chapters is written by a specialist in the field and provides: a introduction to the subject; an analysis of the relationship between the diachronic and synchronic study of the topic; an overview of the main current and critical trends; and examples from primary data. The Routledge Handbook of Historical Linguistics is essential reading for researchers and postgraduate students working in this area. Chapter 28 of this book is freely available as a downloadable Open Access PDF under a Creative Commons Attribution-Non Commercial-No Derivatives 3.0 license. https://www.routledgehandbooks.com/doi/10.4324/9781315794013.ch28
Phylogenetics, a hands-on introduction
This book introduces concepts of modern phylogenetics through hands-on examples, including how to construct, read and analyze phylogenetic trees in the command line and in R. The book targets undergraduate and graduate students in biology, bioinformatics, data science or related fields. Numerous examples and exercises are included throughout the book, mostly using data from the scientific literature. Phylogenies used in the examples/exercises span the entire tree of life including viruses, bacteria, archaea and eukaryotes. Prerequisites include basic familiarity with the command line (bash) and with R. References to the scientific literature are provided throughout for the interested reader. This book is suitable as reading material in related university courses as well as for self-teaching.
Linguistic Archaeology
Linguistic Archaeology provides students with an accessible introduction to the field of linguistic archaeology, both as theoretical framework and methodological toolkit, for understanding the conceptual foundations and practical considerations involved in reconstructing the prehistory of language. The book introduces the field’s expansion out of traditional approaches to focus more on the interplay of related disciplines and the reconstruction of human language beyond the written period. The opening chapter outlines key theories and charts their development from the nineteenth century through to today, drawing on work from computational historical linguistics, phylogenetics, and linguisti...
Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track
The 5-volume proceedings, LNAI 12457 until 12461 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, which was held during September 14-18, 2020. The conference was planned to take place in Ghent, Belgium, but had to change to an online format due to the COVID-19 pandemic. The 232 full papers and 10 demo papers presented in this volume were carefully reviewed and selected for inclusion in the proceedings. The volumes are organized in topical sections as follows: Part I: Pattern Mining; clustering; privacy and fairness; (social) network analysis and computational social science; dimensionality reduction and ...
Topological Data Analysis for Genomics and Evolution
An introduction to geometric and topological methods to analyze large scale biological data; includes statistics and genomic applications.
The Covid-19 Intelligence Failure
An in-depth analysis of why COVID-19 warnings failed and how to avert the next disaster Epidemiologists and national security agencies warned for years about the potential for a deadly pandemic, but in the end global surveillance and warning systems were not enough to avert the COVID-19 disaster. In The COVID-19 Intelligence Failure, Erik J. Dahl demonstrates that understanding how intelligence warnings work ? and how they fail ? shows why the years of predictions were not enough. In the first in-depth analysis of the topic, Dahl examines the roles that both traditional intelligence services and medical intelligence and surveillance systems play in providing advance warning against public he...
