The Library
The digital cell : cell biology as a data science
Tools
Tools
Tools
Royle, Stephen J. (2020) The digital cell : cell biology as a data science. New York, US: Cold Spring Harbor Laboratory Press. ISBN 9781621822783
Research output not available from this repository, contact author.
Official URL: http://www.worldcat.org/oclc/1104857736
Abstract
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.
| Item Type: | Book | ||||||
|---|---|---|---|---|---|---|---|
| Divisions: | Faculty of Medicine > Warwick Medical School > Biomedical Sciences > Cell & Developmental Biology Faculty of Medicine > Warwick Medical School > Biomedical Sciences Faculty of Medicine > Warwick Medical School |
||||||
| Publisher: | Cold Spring Harbor Laboratory Press | ||||||
| Place of Publication: | New York, US | ||||||
| ISBN: | 9781621822783 | ||||||
| Official Date: | 2020 | ||||||
| Dates: |
|
||||||
| Number of Pages: | 137 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||
| Related URLs: |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
