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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,…mehr

Produktbeschreibung
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.

Autorenporträt
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.
Rezensionen
From the reviews:

"This concise book is an excellent introduction for computer scientists to the exciting revolution under way in molecular biology. It provides lucid, high-level descriptions of the fundamental molecular mechanisms of life, and discusses the computational principles involved. I wish this little gem was available when I was 'learning the ropes' -- it would have been my first choice of reading material."

--Roni Rosenfeld, Carnegie Mellon University

"Cell biology is certainly a new and exciting area. This nice, compact, and enthusiastically written book covers a huge amount of material. The author describes biological systems, experimental methods, and the language of cell biology. ... Summing up, this book (with its excellent index) can be used as one of the first steps in obtaining a reading knowledge of biology -- though cautiously." (H. I. Kilov, Computing Reviews, December, 2007)