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The PASB lab uses systemic biological approach to understand adaptation in plant species and natural populations. By integrating data and theories from genetics, genomics, evolutionary biology, and biological networks, we try to explore how plants respond to environmental changes and evolve over time. Our projects underlie the basic questions in the levels of small RNAs and protein-coding genes.
Recently, we mainly focused on the following areas:
- Evolutionary and functional analysis of protein families that are involved in early signaling events
- Dynamic properties of protein-protein interaction networks
Evolutionary and functional analysis of protein families that are involved in early signaling events
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To learn more about the functions of protein families that participate in the early signaling events by which plants sense environmental signals and decode to give the appropriate responses, bioinformatics analysis is used on the aspects of evolution and functions.
Dynamic properties of protein-protein interaction networks
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Most of the genome-scale protein-protein interactions, constructed by either experimental or computational methods, are aggregated and ignore the dynamics of interactions during different time series and in different cellular localizations. However, biological processes are not static. In this project, gene expression profiles under various conditions (as time series) and sublocalization information will be added to decompose and visualize the aggregated network both temporally and specially. Then the dynamic properties of decomposed subnetworks corresponding to different time series and spaces will be studied on various levels. It will be helpful for deeper understanding of biological functions buried in the networks.
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