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by Shuichi Onami

From: RIKEN Quantitative Biology Center
Hosted by: Fumio Motegi & Sasha Bershadsky

Quantitative data on spatiotemporal dynamics of embryo provide crucial information for understanding the mechanism of development. Combinations of live imaging and computational image-processing technologies have produced a large amount and a wide variety of quantitative dynamics data on embryogenesis. In this seminar, I will introduce our large collection of quantitative data on nuclear division dynamics in early C. elegans embryos. These data were obtained by combining four-dimensional microscopy and computational image processing under gene perturbations of each of all essential embryonic genes. We developed a method to elucidate the sequence of phenotype expression by computing correlations between phenotypic characters. We also developed a method to infer genes involved in the phenotype expression network by computing outliers in the correlations. I would like to discuss how quantitative dynamics data provide new opportunities in biology. I would also like to introduce our SSBD database (http://ssbd.qbic.riken.jp) for storing and sharing quantitative biological dynamics data. This database is developed and maintained as a part of the Life Science Database Integration Project in Japan to sustainably store and share quantitative biological dynamics data that are created by the Japanese science community and beyond.

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About the National University of Singapore

About NUSA leading global university centred in Asia, NUS is Singapore's flagship university, offering a global approach to education and research with a focus on Asian perspectives and expertise.

About the Mechanobiology Institute, National University of Singapore

About MBIOne of four Research Centres of Excellence at NUS, MBI is working to identify, measure and describe how the forces for motility and morphogenesis are expressed at the molecular, cellular and tissue level.
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