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姓    名: 林耀正博士
職    稱: 助研究員 
 
辦公室: +886-6-3032312
實驗室: +886-6-3032280 #212
信    箱: yalin@sinica.edu.tw
 
 
研究方向
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近期著作
專利技術
研究室成員
徵才
 
 
 

Research focus

  The goal of the Bioinformatics and Computational Genomics lab is to deepen our biological knowledge by combining computational analysis and large scale experimental datasets. We develop and apply bioinformatics methods in gene prediction, comparative sequence analysis and gene expression network analysis to predict gene functions. The experimental datasets are integrated with the in silico prediction to reveal the complex biological network.

 

Transposable element dynamics in the Orchid flower pattern development

  Transposable element (TE) is one of the most abundant sequence element in plant genomes. The orchid TEs are poorly studied and the interaction of TE activities and gene functions remain unknown. In particular, the flower color spot is likely affected by the insertion or deletion of TEs during the clonal propagation. Such unstable phenotype largely reduces the orchid commercial value and is one of the main concern in the orchid breeding. By developing a novel TE enrichment protocol and the comparative sequence analysis methods, we hope to understand the underlining mechanism of TE activities and reduce the pitfalls in the orchid breeding program.

 

Drought adaptation in the Oryza genus

  Modem rice cultivars require high volume of water supply during the growth season to support the high yield production. On the other hand, upland rice or wild rice require less than half of the water supply but generate lower yield output. The instability or shortage of freshwater supply pose a great challenge for the future agriculture production. The available Oryza genus genomics resources provide a great opportunity to study the rice domestication and the drought adaptation among different Oryza genus. We combine datasets from genome sequence and transcriptome profiling to identify novel coding and non-coding genes in different cultivars and perform systematics functional annotations. Most importantly, to identify regulatory modules that involve in drought adaptation or control the plant yield.

 

 
 

 
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