Unlike the structured world of computer science, biology is complex, evolving, and often lacks clean abstract models. This book aims to serve as a guide for computer scientists who need to understand cell biology, breaking the field into three parts: biological mechanics, experimental methods, and language/nomenclature. While biological mechanics, which investigates cellular-level details, is covered by many texts, this book also focuses on experimental methods - how biologists conduct experiments and gather data - and on helping the reader understand the language and terminology of biology, which is rich but challenging for non-biologists.
A Computer Scientist's Guide to Cell Biology uses a metaphor of biology as a strange land with an unfamiliar language and customs. The goal of the book is to provide a high-level introduction to cell biology, simplifying concepts and relating them to familiar ideas from computer science, so that working computer scientists can more effectively understand read recent research papers and results.
This Second Edition contains a number of updates, including discussions of CRISPR, advances in DNA Sequencing, and mRNA vaccines. It serves as an easy-to-read travel guide for computer scientists navigating the intricate and sometimes perplexing terrain of cell biology, offering insights into experimental methods and helping bridge the gap between the structured world of computer science and the complexities of biological systems.
Auflage
Sprache
Verlagsort
Verlagsgruppe
Springer International Publishing
Illustrationen
28
12 s/w Abbildungen, 28 farbige Abbildungen
IX, 117 p. 40 illus., 28 illus. in color.
Maße
Höhe: 235 mm
Breite: 155 mm
Dicke: 8 mm
Gewicht
ISBN-13
978-3-031-55909-9 (9783031559099)
DOI
10.1007/978-3-031-55907-5
Schweitzer Klassifikation
William W. Cohen is a AAAI Fellow, past president of the International Machine Learning Society, winner of multiple best-paper and test-of-time awards, author of hundreds of refereed publications, and past recipient of multiple NIH grants on applications of computer science to biology and biological information seeking.
Charles K. Cohen is a trained biologist who moved from the lab bench to earn a master's degree in science and medical writing from Johns Hopkins University. In this transition, he has found that typos are much easier to correct than contaminated petri dishes.
