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020 _a9783031559075
_9978-3-031-55907-5
024 7 _a10.1007/978-3-031-55907-5
_2doi
050 4 _aQH573-671
072 7 _aPSF
_2bicssc
072 7 _aSCI017000
_2bisacsh
072 7 _aPSF
_2thema
100 1 _aCohen, William W.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980334
245 1 2 _aA Computer Scientist's Guide to Cell Biology
_h[electronic resource] /
_cby William W. Cohen, Charles K. Cohen.
250 _a2nd ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aIX, 117 p. 40 illus., 28 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _a -- 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.
520 _aUnlike 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.
650 0 _aCytology.
_967436
650 0 _aApplication software.
650 0 _aBioinformatics.
_964050
650 0 _aBiomathematics.
_970325
650 0 _aStem cells.
_967435
650 1 4 _aCell Biology.
_967440
650 2 4 _aComputer and Information Systems Applications.
650 2 4 _aBioinformatics.
_964050
650 2 4 _aComputational and Systems Biology.
_965974
650 2 4 _aMathematical and Computational Biology.
_970327
650 2 4 _aStem Cell Biology.
_967439
700 1 _aCohen, Charles K.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980335
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031559068
776 0 8 _iPrinted edition:
_z9783031559082
776 0 8 _iPrinted edition:
_z9783031559099
856 4 0 _uhttps://doi.org/10.1007/978-3-031-55907-5
912 _aZDB-2-SBL
912 _aZDB-2-SXB
999 _c61495
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