Metabolomics Data Processing and Data Analysis-Current Best Practices

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Tác giả: Kati Hanhineva, Justin Van der Hooft

Ngôn ngữ: eng

ISBN-13: 978-3036511948

Ký hiệu phân loại:

Thông tin xuất bản: Basel, Switzerland : MDPI - Multidisciplinary Digital Publishing Institute, 2021

Mô tả vật lý: 1 electronic resource (276 p.)

Bộ sưu tập: Tài liệu truy cập mở

ID: 227116

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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