Details

A Computer Scientist's Guide to Cell Biology

Second Edition 2024

von: William W. Cohen, Charles K. Cohen
CHF 47.50
Verlag:	Springer
Format:	PDF
Veröffentl.:	11.07.2024
ISBN/EAN:	9783031559075
Sprache:	englisch
Anzahl Seiten:	125

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Beschreibungen

Titelbeschreibung

<p>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.</p><p><i> A Computer Scientist's Guide to Cell Biology</i> 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.</p><p>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.<br></p><p></p>

Inhaltsverzeichnis

<p>.- Introduction.</p>

<p>.- How Cells Work: The Basics.</p>

<p>.- Why Is Biology Hard?.</p>

<p>.- Looking At Very Small Things.</p>

<p>.- Manipulation of the Very Small.</p>

<p>.- Reprogramming Cells.</p>

<p>.- Other Ways to Use Biology For Biological Experiments.</p>

<p>.- Bioinformatics.</p>

<p>.- Where To Go From Here.</p>

Autorenportrait

<p><b>William W. Cohen</b> 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.</p><p><b>Charles K. Cohen</b> 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.<br></p>

Back cover copy

<div>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.</div><div><i><br></i></div><div><i> A Computer Scientist's Guide to Cell Biology</i> 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.</div><div><br></div><div>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.<br></div>

Sonderbeitrag

Describes biological systems, experimental methods, language of cell biology and the computational principles involved Excellent introduction for computer scientists to the exciting revolution underway in molecular biology Updated to include new chapters on CRISPR, advances in DNA Sequencing and mRNA vaccines