Topological Data Analysis for Genomics and Evolution: Topology in Biology

Rabadan, Raul

ISBN 10: 1107159547 / ISBN 13: 9781107159549

Published by Cambridge University Press, 2020

Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned. Seller Inventory # wbs9541479695

Synopsis:

Biology has entered the age of Big Data. The technical revolution has transformed the field, and extracting meaningful information from large biological data sets is now a central methodological challenge. Algebraic topology is a well-established branch of pure mathematics that studies qualitative descriptors of the shape of geometric objects. It aims to reduce questions to a comparison of algebraic invariants, such as numbers, which are typically easier to solve. Topological data analysis is a rapidly-developing subfield that leverages the tools of algebraic topology to provide robust multiscale analysis of data sets. This book introduces the central ideas and techniques of topological data analysis and its specific applications to biology, including the evolution of viruses, bacteria and humans, genomics of cancer and single cell characterization of developmental processes. Bridging two disciplines, the book is for researchers and graduate students in genomics and evolutionary biology alongside mathematicians interested in applied topology.

Review: 'The time is right to bring new approaches to the analysis of biological data. Topological data analysis reveals the structure of data. This book shows how algebraic topology opens new doors, presenting ideas and directions that make testable predictions and explore life processes.' Arnold J. Levine, Institute for Advanced Study, New Jersey

'This fascinating book describes how advances in mathematics, especially in fields such as topology, are transforming our understanding of biology. Rabadan, one of the founders of the field, shows us how the evolution of cancer, and of viruses and bacteria, can be deeply understood through these novel mathematical techniques. Rabadan's capacity to create a synthesis of many threads, and lay out future challenges, makes this an intriguing and compelling read.' Siddhartha Mukherjee, Columbia University Medical Center, New York and author of The Gene: An Intimate History and The Emperor of All Maladies: A Biography of Cancer

'This is a very important work that shows the way to applications of topological data analysis in genomics. It should be studied carefully by anyone working on the biomedical applications of topological data analysis.' Gunnar Carlsson, Stanford University, California

'This is an important book. Modern experimental biology produces large amounts of data and of many disparate types, requiring new methods of analysis. In explaining biology to mathematicians and data scientists, and subtle new statistical analyses based on the flexible form of geometry called topology to biologists, carefully and clearly, without sacrificing accuracy, the authors have written a unique book that is cutting edge, truly interdisciplinary, and a resource for both communities. I found it fascinating, and will insist that my students read it.' Shmuel Weinberger, Andrew MacLeish Distinguished Service Professor of Mathematics, University of Chicago

Bibliographic Details

Title: Topological Data Analysis for Genomics and ...
Publisher: Cambridge University Press
Publication Date: 2020
Binding: Hardcover
Condition: Good