Metabolomics Data Processing and Data Analysis-Current Best Practices, (Hardcover)
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This book contains valuable information for researchers just starting in their metabolomics career as well as those that are more experienced.
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產品詳情
- Metabolomics data analysis strategies are central to transforming raw metabolomics data files into meaningful biochemical interpretations that answer biological questions or generate novel hypotheses. This book contains a variety of papers from a Special Issue around the theme Best Practices in Metabolomics Data Analysis. Reviews and strategies for the whole metabolomics pipeline are included, whereas key areas such as metabolite annotation and identification, compound and spectral databases and repositories, and statistical analysis are highlighted in various papers. Altogether, this book contains valuable information for researchers just starting in their metabolomics career as well as those that are more experienced and look for additional knowledge and best practice to complement key parts of their metabolomics workflows.
| Publication date | September, 2021 |
| Author | Mdpi AG |
| Book format | Hardcover |
| Genre | Computing & Internet |
| Pages | 276 |
| Age group | Adult |
| Binding type | Case Binding |
| Series title | No Series |
| Fiction/nonfiction | Non-Fiction |
| Publisher | Mdpi AG |
| Subgenre | General |
| Original languages | English |
| Is collectible | N |
| Bisac subject heading | Computers |
| Edition | 1 |
| Language | English |
| Item Weight | 2 lbs (910 grams) |
Who Should Buy?
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Researchers in Metabolomics
Ideal for scientists conducting metabolomics studies, providing current methodologies for data analysis and interpretation.
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Graduate Students
Beneficial for students in biological or biomedical fields seeking foundational knowledge and best practices in metabolomics data processing.
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Data Analysts
Suitable for analysts interested in bioinformatics, offering insights into advanced analytics techniques used in metabolomic research.
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Beginners in Biology
Not suitable for complete newcomers to biology; assumes prior knowledge of metabolomics and data analysis techniques.
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特色和優勢
- Essential guide for metabolomics data analysis.
- Includes reviews and strategies for the entire metabolomics pipeline.
- Focuses on key areas: metabolite annotation, identification, and statistical analysis.
- Provides insights from a variety of expert papers.
- Ideal for both beginners and experienced researchers.
- Enhances knowledge and best practices in metabolomics workflows.
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