03931nam a22005895i 4500 978-3-031-55907-5 DE-He213 20251030112622.0 cr nn 008mamaa 240711s2024 sz | s |||| 0|eng d 9783031559075 978-3-031-55907-5 10.1007/978-3-031-55907-5 doi QH573-671 PSF bicssc SCI017000 bisacsh PSF thema Cohen, William W. author. aut http://id.loc.gov/vocabulary/relators/aut 80334 A Computer Scientist's Guide to Cell Biology [electronic resource] / by William W. Cohen, Charles K. Cohen. 2nd ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. IX, 117 p. 40 illus., 28 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda -- Introduction. -- How Cells Work: The Basics. -- Why Is Biology Hard?. -- Looking At Very Small Things. -- Manipulation of the Very Small. -- Reprogramming Cells. -- Other Ways to Use Biology For Biological Experiments. -- Bioinformatics. -- Where To Go From Here. 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. Cytology. 67436 Application software. Bioinformatics. 64050 Biomathematics. 70325 Stem cells. 67435 Cell Biology. 67440 Computer and Information Systems Applications. Bioinformatics. 64050 Computational and Systems Biology. 65974 Mathematical and Computational Biology. 70327 Stem Cell Biology. 67439 Cohen, Charles K. author. aut http://id.loc.gov/vocabulary/relators/aut 80335 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031559068 Printed edition: 9783031559082 Printed edition: 9783031559099 https://doi.org/10.1007/978-3-031-55907-5 ZDB-2-SBL ZDB-2-SXB 61495 61495