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Computational Methods and Data Analysis for Metabolomics

Overview of attention for book
Cover of 'Computational Methods and Data Analysis for Metabolomics'

Table of Contents

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    Book Overview
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    Chapter 1 Overview of Experimental Methods and Study Design in Metabolomics, and Statistical and Pathway Considerations
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    Chapter 2 Metabolomics Data Processing Using XCMS
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    Chapter 3 Metabolomics Data Preprocessing Using ADAP and MZmine 2
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    Chapter 4 Metabolomics Data Processing Using OpenMS
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    Chapter 5 Analysis of NMR Metabolomics Data
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    Chapter 6 Key Concepts Surrounding Studies of Stable Isotope-Resolved Metabolomics
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    Chapter 7 Extracting Biological Insight from Untargeted Lipidomics Data
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    Chapter 8 Overview of Tandem Mass Spectral and Metabolite Databases for Metabolite Identification in Metabolomics
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    Chapter 9 METLIN: A Tandem Mass Spectral Library of Standards
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    Chapter 10 Metabolomic Data Exploration and Analysis with the Human Metabolome Database
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    Chapter 11 De Novo Molecular Formula Annotation and Structure Elucidation Using SIRIUS 4
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    Chapter 12 Annotation of Specialized Metabolites from High-Throughput and High-Resolution Mass Spectrometry Metabolomics
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    Chapter 13 Feature-Based Molecular Networking for Metabolite Annotation
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    Chapter 14 A Bioinformatics Primer to Data Science, with Examples for Metabolomics
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    Chapter 15 The Essential Toolbox of Data Science: Python, R, Git, and Docker
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    Chapter 16 Predictive Modeling for Metabolomics Data
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    Chapter 17 Using MetaboAnalyst 4.0 for Metabolomics Data Analysis, Interpretation, and Integration with Other Omics Data
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    Chapter 18 Using Genome-Scale Metabolic Networks for Analysis, Visualization, and Integration of Targeted Metabolomics Data
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    Chapter 19 Pathway Analysis for Targeted and Untargeted Metabolomics
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    Chapter 20 Application of Metabolomics to Renal and Cardiometabolic Diseases
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    Chapter 21 Using the IDEOM Workflow for LCMS-Based Metabolomics Studies of Drug Mechanisms
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    Chapter 22 Analyzing Metabolomics Data for Environmental Health and Exposome Research
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    Chapter 23 Network-Based Approaches for Multi-omics Integration
Attention for Chapter 9: METLIN: A Tandem Mass Spectral Library of Standards
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Chapter title
METLIN: A Tandem Mass Spectral Library of Standards
Chapter number 9
Book title
Computational Methods and Data Analysis for Metabolomics
Published by
Humana, New York, NY, January 2020
DOI 10.1007/978-1-0716-0239-3_9
Pubmed ID
Book ISBNs
978-1-07-160238-6, 978-1-07-160239-3
Authors

J. Rafael Montenegro-Burke, Carlos Guijas, Gary Siuzdak, Montenegro-Burke, J. Rafael, Guijas, Carlos, Siuzdak, Gary

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 18%
Student > Ph. D. Student 8 18%
Student > Master 4 9%
Student > Bachelor 3 7%
Student > Doctoral Student 2 5%
Other 7 16%
Unknown 12 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 14%
Chemistry 5 11%
Agricultural and Biological Sciences 3 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Business, Management and Accounting 2 5%
Other 8 18%
Unknown 18 41%