A Computer Scientist's Guide to Cell Biology [electronic resource] / by William W. Cohen, Charles K. Cohen.

Por: Cohen, William W [author.]Colaborador(es): Cohen, Charles K [author.] | SpringerLink (Online service)Tipo de material: TextoTextoEditor: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edición: 2nd ed. 2024Descripción: IX, 117 p. 40 illus., 28 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031559075Tema(s): Cytology | Application software | Bioinformatics | Biomathematics | Stem cells | Cell Biology | Computer and Information Systems Applications | Bioinformatics | Computational and Systems Biology | Mathematical and Computational Biology | Stem Cell BiologyFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 571.6 Clasificación LoC:QH573-671Recursos en línea: Libro electrónicoTexto
Contenidos:
-- 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.
En: Springer Nature eBookResumen: 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.
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-- 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.

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