Uncovering the Physiological Impacts of Omics Changes for Oryza sativa with Gene Set Linkage Analysis

DOI

10.2991/amms-17.2017.19How to use a DOI?

Keywords

oryza sativia; biological process; omics data; functional interaction network; gene set annotation

Abstract

High throughput omics profiling technologies enable comprehensive and accurate measurement of plant physiology. However, currently, most high-throughput results are only used for discovery of individual significantly changed genes. High-level coordination of physiological mechanisms is rarely discovered from omics results. This is because of the lack of a powerful tool that can interpret the physiological impacts of an observed omics change. This work presents the gene set linkage analysis (GSLA) tool for rice, which uses a functional interaction network to extend the functional impacts of observed individual gene changes and to finally obtain insights on the potential physiological impacts of an observed omics change. The GSLA service for rice is freely available at http://service.synergylab.info/gsla/faces/gsla_rice.xhtml.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Pengcheng Chen
AU  - Ling Wang
AU  - Xin Chen
PY  - 2017/11
DA  - 2017/11
TI  - Uncovering the Physiological Impacts of Omics Changes for Oryza sativa with Gene Set Linkage Analysis
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)
PB  - Atlantis Press
SP  - 87
EP  - 89
SN  - 1951-6851
UR  - https://doi.org/10.2991/amms-17.2017.19
DO  - 10.2991/amms-17.2017.19
ID  - Chen2017/11
ER  -