Metabolome analysis

Saravanan Dayalan; Jianguo Xia; Rachel A. Spicer; Reza Salek; Ute Roessner

doi:10.1016/B978-0-12-809633-8.20251-3

Metabolome analysis

Saravanan Dayalan, Jianguo Xia, Rachel A. Spicer, Reza Salek, Ute Roessner

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

7 Citations (Scopus)

Abstract

Metabolomics is the study of identification and quantification of small molecules present in biological systems. Metabolomics analyses of biological samples involves getting a metabolic profile using analytical technologies and analyzing the data generated by these platforms to gain insight into the system’s metabolic state. This article presents an overview of the software tools and methods used for the analysis, visualization and interpretation of metabolomics data. Specifically, this article details metabolomics workflows, metadata, standards in metabolomics, data processing and workflow softwares, metabolomics experiments repositories, metabolomics databases and statistical analysis methods for analyzing metabolomics data.

Original language	English
Title of host publication	Encyclopedia of Bioinformatics and Computational Biology
Subtitle of host publication	ABC of Bioinformatics
Publisher	Elsevier
Pages	396-409
Number of pages	14
Volume	1-3
ISBN (Electronic)	9780128114322
ISBN (Print)	9780128114148
DOIs	https://doi.org/10.1016/B978-0-12-809633-8.20251-3
Publication status	Published - 1 Jan 2018
Externally published	Yes

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10.1016/B978-0-12-809633-8.20251-3

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title = "Metabolome analysis",

abstract = "Metabolomics is the study of identification and quantification of small molecules present in biological systems. Metabolomics analyses of biological samples involves getting a metabolic profile using analytical technologies and analyzing the data generated by these platforms to gain insight into the system{\textquoteright}s metabolic state. This article presents an overview of the software tools and methods used for the analysis, visualization and interpretation of metabolomics data. Specifically, this article details metabolomics workflows, metadata, standards in metabolomics, data processing and workflow softwares, metabolomics experiments repositories, metabolomics databases and statistical analysis methods for analyzing metabolomics data.",

keywords = "Bioinformatics, Data processing, Databases, Functional analysis, LIMS, Metabolomics, Pathway, Repositories, Statistical analysis, Workflow systems",

author = "Saravanan Dayalan and Jianguo Xia and Spicer, {Rachel A.} and Reza Salek and Ute Roessner",

year = "2018",

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doi = "10.1016/B978-0-12-809633-8.20251-3",

language = "English",

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TY - CHAP

T1 - Metabolome analysis

AU - Dayalan, Saravanan

AU - Xia, Jianguo

AU - Spicer, Rachel A.

AU - Salek, Reza

AU - Roessner, Ute

PY - 2018/1/1

Y1 - 2018/1/1

N2 - Metabolomics is the study of identification and quantification of small molecules present in biological systems. Metabolomics analyses of biological samples involves getting a metabolic profile using analytical technologies and analyzing the data generated by these platforms to gain insight into the system’s metabolic state. This article presents an overview of the software tools and methods used for the analysis, visualization and interpretation of metabolomics data. Specifically, this article details metabolomics workflows, metadata, standards in metabolomics, data processing and workflow softwares, metabolomics experiments repositories, metabolomics databases and statistical analysis methods for analyzing metabolomics data.

AB - Metabolomics is the study of identification and quantification of small molecules present in biological systems. Metabolomics analyses of biological samples involves getting a metabolic profile using analytical technologies and analyzing the data generated by these platforms to gain insight into the system’s metabolic state. This article presents an overview of the software tools and methods used for the analysis, visualization and interpretation of metabolomics data. Specifically, this article details metabolomics workflows, metadata, standards in metabolomics, data processing and workflow softwares, metabolomics experiments repositories, metabolomics databases and statistical analysis methods for analyzing metabolomics data.

KW - Bioinformatics

KW - Data processing

KW - Databases

KW - Functional analysis

KW - LIMS

KW - Metabolomics

KW - Pathway

KW - Repositories

KW - Statistical analysis

KW - Workflow systems

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U2 - 10.1016/B978-0-12-809633-8.20251-3

DO - 10.1016/B978-0-12-809633-8.20251-3

M3 - Chapter

SN - 9780128114148

VL - 1-3

SP - 396

EP - 409

BT - Encyclopedia of Bioinformatics and Computational Biology

PB - Elsevier

ER -

Metabolome analysis

Abstract

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