Predicted Arabidopsis Interactome Resource-A Network Modeling Method of Integration and Analysis for the Omics Data
Authors
Heng Yao, Xin Chen, Xiaoxuan Wang
Corresponding Author
Heng Yao
Available Online November 2017.
- DOI
- 10.2991/amms-17.2017.25How to use a DOI?
- Keywords
- omics annotation; arabidopsis; functional interaction network; analysis method
- Abstract
The Predicted Arabidopsis Interactome Resource (PAIR) is an online database of the functional interactions between Arabidopsis genes. PAIR is inferred by integrating six types of evidence each of which suggests a different aspect of functional associations between Arabidopsis genes and therefore enables extended analysis on the potential functional impacts of the observed omics changes at the physiological level.
- 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/).
Cite this article
TY - CONF AU - Heng Yao AU - Xin Chen AU - Xiaoxuan Wang PY - 2017/11 DA - 2017/11 TI - Predicted Arabidopsis Interactome Resource-A Network Modeling Method of Integration and Analysis for the Omics Data BT - Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017) PB - Atlantis Press SP - 110 EP - 113 SN - 1951-6851 UR - https://doi.org/10.2991/amms-17.2017.25 DO - 10.2991/amms-17.2017.25 ID - Yao2017/11 ER -