Integrated enrichment analysis and pathway-centered visualization of metabolomics, proteomics, transcriptomics, and genomics data by using the InCroMAP software

被引：35

作者：

Eichner, Johannes ^{[1
]}

Rosenbaum, Lars ^{[1
]}

Wrzodek, Clemens ^{[1
]}

Haering, Hans-Ulrich ^{[2
,3
,5
]}

Zell, Andreas ^{[1
]}

Lehmann, Rainer ^{[2
,4
,5
]}

机构：

[1] Univ Tubingen, Ctr Bioinformat, Tubingen, Germany

[2] Univ Tubingen, Helmholtz Ctr Munich, Inst Diabet Res & Metab Dis, Tubingen, Germany

[3] Univ Tubingen Hosp, Dept Internal Med 4, Div Endocrinol Diabetol Vasc Med Nephrol & Clin C, Tubingen, Germany

[4] Univ Tubingen Hosp, Dept Internal Med 4, Div Clin Chem & Pathobiochem, Tubingen, Germany

[5] German Ctr Diabet Res DZD, Neuherberg, Germany

来源：

JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES | 2014年 / 966卷

关键词：

Metabolomics; Transcriptomics; Proteomics; Genomics; Enrichment analysis; Pathway visualization; WEB-BASED TOOL; KNOWLEDGEBASE;

D O I：

10.1016/j.jchromb.2014.04.030

中图分类号：

Q5 [生物化学];

学科分类号：

070307 [化学生物学];

摘要：

In systems biology, the combination of multiple types of omics data, such as metabolomics, proteomics, transcriptomics, and genomics, yields more information on a biological process than the analysis of a single type of data. Thus, data from different omics platforms is usually combined in one experimental setup to obtain insight into a biological process or a disease state. Particularly high accuracy metabolomics data from modern mass spectrometry instruments is currently more and more integrated into biological studies. Reflecting this trend, we extended InCroMAP, a data integration, analysis and visualization tool for genomics, transcriptomics, and proteomics data. Now, the tool is able to perform an integrated enrichment analysis and pathway-based visualization of multi-omics data and thus, it is suitable for the evaluation of comprehensive systems biology studies. (C) 2014 Elsevier B.V. All rights reserved.

引用

页码：77 / 82

页数：6

共 20 条

[1]

The use of metabolomics integrated with transcriptomic and proteomic studies for identifying key steps involved in the control of nitrogen metabolism in crops such as maize [J].