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TIGP (BIO)—Large-scale Data Analysis for Robotic Yeast One-hybrid Platforms and Multi-Disciplinary Studies Using Gatemultiplex

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TIGP (BIO)—Large-scale Data Analysis for Robotic Yeast One-hybrid Platforms and Multi-Disciplinary Studies Using Gatemultiplex

  • 講者林盈仲 博士 (國立臺灣大學 生命科學系)
    邀請人:TIGP (BIO)
  • 時間2021-10-07 (Thu.) 14:00 – 16:00
  • 地點僅提供視訊 線上會議:請見摘要頁。
線上串流

Join the talk on 【Webex】, or open Webex and enter Meeting number: 2513 978 3814 and Password: zBN3vVyzj29

摘要

Yeast one-hybrid (Y1H) is a common technique for identifying DNA-protein interactions, and robotic platforms have been developed for high-throughput analyses to unravel the gene regulatory networks in many organisms. Use of these high-throughput techniques has led to the generation of increasingly large datasets, and several software packages have been developed to analyze such data. We previously established the currently most efficient Y1H system, meiosis-directed Y1H; however, the available software tools were not designed for processing the additional parameters suggested by meiosis-directed Y1H to avoid false positives and required programming skills for operation. We developed a new tool named GateMultiplex with high computing performance using C++. GateMultiplex incorporated a graphical user interface, which allows the operation without any programming skills. Flexible parameter options were designed for multiple experimental purposes to enable the application of GateMultiplex even beyond Y1H platforms. We further demonstrated the data analysis from other three fields using GateMultiplex, the identification of lead compounds in preclinical cancer drug discovery, the crop line selection in precision agriculture, and the ocean pollution detection from deep-sea fishery.

BIO

Dr. Ying-Chung Jimmy Lin is currently an Associate Professor in Life Science Department in National Taiwan University. Started from his PhD training in North Carolina State University, he has worked on the gene regulation and xylem development of forestry crops for more than a decade. Throughout his research plans, Dr. Lin is trying to answer a question: How trees make wood? With the focus on stem differentiating xylem development and evolution for understanding wood formation, a systematic manner was used via multi-omic approaches for diverse tree species from different evolutionary clades.