The Digital Cell

Stephen J Royle

ISBN 10: 1621825353 / ISBN 13: 9781621825357

Published by Cold Spring Harbor Laboratory Press, 2019

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Cell and molecular biology are becoming increasingly data driven. Technological advances and increased computing power mean that researchers now increasingly quantify experimental results, rather than simply report qualitative, representative observations. The Digital Cell provides a comprehensive guide for scientists seeking to make this transition. It describes how data should be generated and processed, discussing research workflows, pipelines, and storage solutions. A key focus of the book is imaging-image types and formats are explained, as is software for image processing and analysis, along with techniques such as segmentation analysis and automated particle tracking.The book examines the wide variety of statistical approaches that can be used for data analysis, emphasizing concepts such as significance and reproducibility. It also includes an introduction to coding, including examples of how to write and use R scripts to analyze results. In addition, there is useful advice on how to plot and present data to convey results most effectively. The Digital Cell is thus an essential resource for all cell and molecular biologists-from students embarking on research for the first time to experienced scientists who need to acquire, process, and present their data accurately and efficiently.

Seller Inventory # 9781621825357

Bibliographic Details

• Title: The Digital Cell
• Publisher: Cold Spring Harbor Laboratory Press
• Publication Date: 2019
• Language: English
• ISBN 10: 1621825353
• ISBN 13: 9781621825357
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 229W x 165H x 10D millimeters 229 millimeters width by 165 millimeters height by 10 millimeters depth
• Weight: 366 grams

About this title

Synopsis

Cell and molecular biology are becoming increasingly data driven. Technological advances and increased computing power mean that researchers now increasingly quantify experimental results, rather than simply report qualitative, representative observations. The Digital Cell provides a comprehensive guide for scientists seeking to make this transition. It describes how data should be generated and processed, discussing research workflows, pipelines, and storage solutions. A key focus of the book is imaging-image types and formats are explained, as is software for image processing and analysis, along with techniques such as segmentation analysis and automated particle tracking.

The book examines the wide variety of statistical approaches that can be used for data analysis, emphasizing concepts such as significance and reproducibility. It also includes an introduction to coding, including examples of how to write and use R scripts to analyze results. In addition, there is useful advice on how to plot and present data to convey results most effectively. The Digital Cell is thus an essential resource for all cell and molecular biologists-from students embarking on research for the first time to experienced scientists who need to acquire, process, and present their data accurately and efficiently.