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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.
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.