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portada Metabolomics Data Processing and Data Analysis-Current Best Practices
Type
Physical Book
Publisher
Author
Language
English
Pages
276
Format
Hardcover
Dimensions
24.4 x 17.0 x 2.2 cm
Weight
0.79 kg.
ISBN13
9783036511948
Categories

Metabolomics Data Processing and Data Analysis-Current Best Practices

Van Der Hooft, Justin ; Hanhineva, Kati (Author) · Mdpi AG · Hardcover

Metabolomics Data Processing and Data Analysis-Current Best Practices - Van Der Hooft, Justin ; Hanhineva, Kati

New Book Imported to South Africa
Delivery: 21 Aug - 01 Sep Shipping: 4 to 5 business days.
R 1,193
R 1,193

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Synopsis "Metabolomics Data Processing and Data Analysis-Current Best Practices "

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.

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