- 188 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Data Processing Handbook for Complex Biological Data Sources
About This Book
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.
- 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
Frequently asked questions
Information
Mass spectroscopy
Abstract
Keywords
1.1 Introduction
- 1. Isolation of protein samples from biological samples and fractionation by 2D gel electrophoresis.
- 2. Fractionated proteins are tryptic digested and resulting peptides are further fragmented.
- 3. Peptides are injected in mass spectrometer (MS) and subjected to quantitative and qualitative analysis.
- 4. The dataset generated is analyzed by appropriate software for identification of the amino acid sequence and for protein quantification.
- 5. Protein identity is assigned based on database search.
1.1.1 Principle
1.1.2 Instrumentation
- 1. Ionization source
- 2. Analyzer
- 3. Detector
- 4. Data processor/digitizer
1.1.3 Types of ionization techniques
- 1. Fast atom bombardment
- 2. Matrix assisted laser desorption ionization (MALDI)
- 3. Electrospray
1.1.3.1 Electron ionization
1.1.3.2 Chemical ionization
Table of contents
- Cover image
- Title page
- Table of Contents
- Copyright
- Dedication
- List of contributors
- Foreword
- Foreword
- Foreword
- Preface
- Acknowledgments
- Chapter 1. Mass spectroscopy
- Chapter 2. Circular dichroism
- Chapter 3. Fluorescence spectroscopy
- Chapter 4. High-throughput sequencing
- Chapter 5. Nuclear magnetic resonance
- Chapter 6. Fourier transform infrared spectroscopy: Data interpretation and applications in structure elucidation and analysis of small molecules and nanostructures
- Chapter 7. Microscopy
- Chapter 8. Principles and applications of flow cytometry
- Chapter 9. Isothermal titration calorimetry
- Chapter 10. Metagenome analysis and interpretation
- Index