
Data Processing Handbook for Complex Biological Data Sources
Description
Key Features
- Explains how to interpret enormous amounts of data generated using several experimental approaches in simple terms, thus relating biology and physics at the atomic level
- Presents sample data files and explains the usage of equations and web servers cited in research articles to extract useful information from their own biological data
- Discusses, in detail, raw data files, data processing strategies, and the web based sources relevant for data processing
Readership
Bioinformaticians; graduate students on health informatics. Researchers from diverse biological backgrounds in need of processing data
Table of Contents
1. Mass spectroscopy
1.1 Introduction
1.2 Raw data
1.3 Data processing
1.3.1 Web based sources
1.3.2 Examples
2. Circular Dichroism
2.1 Introduction
2.2 Raw data
2.3 Data processing
2.3.1 Web based sources
2.3.2 Examples
3. Fluorescence
3.1 Introduction
3.2 Raw data
3.3 Data processing
3.3.1 Web based sources
3.3.2 Examples
4. Higher throughput sequencing
4.1 Introduction
4.2 Raw data
4.3 Data processing
4.3.1 Web based sources
4.3.2 Examples
5. Nuclear Magnetic Resonance
4.1 Introduction
4.2 Raw data
4.3 Data processing
4.3.1 Web based sources
4.3.2 Examples
6. Infrared spectroscopy
6.1 Introduction
6.2 Raw data
6.3 Data processing
6.3.1 Web based sources
6.3.2 Examples
7. Microscopy
7.1 Confocal microscopy
7.1.1 Introduction
7.1.2 Data processing
7.2 Transmission electron microscopy and scanning electron microscopy
7.2.1 Introduction
7.2.2 Data processing
7.3 Atomic force spectroscopy
7.3.1 Introduction
7.3.2 Data processing
8. Flow cytometry
8.1 Introduction
8.2 Raw data
8.3 Data processing
8.3.1 Web based sources
8.3.2 Examples
Product details
- No. of pages: 188
- Language: English
- Copyright: © Academic Press 2019
- Published: March 23, 2019
- Imprint: Academic Press
- Paperback ISBN: 9780128165485
- eBook ISBN: 9780128172803
About the Editor
Gauri Misra
Affiliations and Expertise
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