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Web-based multi-omics integration using the Analyst software suite

delete2024-02-14
delete28
PRE
AI
J
Jessica Ewald
G
Guangyan Zhou
陆瑶 (Yao Lü)
J
Jelena Kolic
C
Cara E. Ellis
J
James D. Johnson
P
Patrick E. MacDonald
J
Jianguo Xia *
DOI:10.1038/s41596-023-00950-4delete
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Abstract

Abstract

En 中文
The growing number of multi-omics studies demands clear conceptual workflows coupled with easy-to-use software tools to facilitate data analysis and interpretation. This protocol covers three key components involved in multi-omics analysis, including single-omics data analysis, knowledge-driven integration using biological networks and data-driven integration through joint dimensionality reduction. Using the dataset from a recent multi-omics study of human pancreatic islet tissue and plasma samples, the first section introduces how to perform transcriptomics/proteomics data analysis using ExpressAnalyst and lipidomics data analysis using MetaboAnalyst. On the basis of significant features detected in these workflows, the second section demonstrates how to perform knowledge-driven integration using OmicsNet. The last section illustrates how to perform data-driven integration from the normalized omics data and metadata using OmicsAnalyst. The complete protocol can be executed in similar to 2 h. Compared with other available options for multi-omics integration, the Analyst software suite described in this protocol enables researchers to perform a wide range of omics data analysis tasks via a user-friendly web interface.
Keywords:
MASS-SPECTROMETRY DATA
GENE
EXPRESSION
NETWORKS
PLATFORM
KNOWLEDGE
PATTERNS
DATABASE
TOOL

Journal

Nature Protocols cover
Nature Protocols
IF:
16
Papers:
4.0K
Citations:
5.6W

Organization

U
university of alberta
Scholars:
5.0W
Papers: 4.9W
Citations: 65
M
McGill University
Scholars:
5.5W
Papers: 4.9W
Citations: 7.0W
U
University of British Columbia
Scholars:
6.9W
Papers: 6.1W
Citations: 8.6W
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