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Data Processing Handbook for Complex Biological Data provides relevant and to the point content for those who need to understand the different types of biological data and the t… Read more
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Immediately download your ebook while waiting for your print delivery. No promo code needed.
Data Processing Handbook for Complex Biological Data provides relevant and to the point content for those who need to understand the different types of biological data and the techniques to process and interpret them. The book includes feedback the editor received from students studying at both undergraduate and graduate levels, and from her peers. In order to succeed in data processing for biological data sources, it is necessary to master the type of data and general methods and tools for modern data processing. For instance, many labs follow the path of interdisciplinary studies and get their data validated by several methods.
Researchers at those labs may not perform all the techniques themselves, but either in collaboration or through outsourcing, they make use of a range of them, because, in the absence of cross validation using different techniques, the chances for acceptance of an article for publication in high profile journals is weakened.
Bioinformaticians; graduate students on health informatics. Researchers from diverse biological backgrounds in need of processing data
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
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