シンポジウム「Statistical and data-scientific methods for omics-data analysis in agricultural and life sciences 」
開催日時(Time and date): 2019 年 10 月 15 日 13時 〜 17時  (1PM - 5PM 15th Oct, 2019)
開催地(Venue): TKP御茶ノ水カンファレンスセンター(千代田区神田駿河台4-3新お茶の水ビルディング2F)
アクセス(Access):https://www.kashikaigishitsu.net/facilitys/cc-ochanomizu/access/
参加費(Participation fee):無料(Free)

講演プログラム(Program)

13:00-13:05 Opening remarks (Hiroyoshi Iwata)

13:05-14:00 Plenary Lecture 1: "Inferring trait-specific similarity among individuals from molecular markers and phenotypes with Bayesian regression"
Daniel Gianola (Univ. of Wisconsin-Madison, USA)

14:00-14:55 Plenary Lecture 2: "Machine-learning-guided mutagenesis for directed evolution"
Koji Tsuda (Univ. of Tokyo, Japan)

14:55-15:10 Short break

15:10-15:30 "Genomic dissection and prediction of transcriptome dynamics in field conditions"
Atsushi J. Nagano (Ryukoku Univ., Japan)

15:30-15:50 "Genetic and genomic analyses for meat quality traits in Japanese Black beef"
Yoshinobu Uemoto (Tohoku Univ., Japan)

15:50-16:10 "Variance heterogeneity association analysis to reveal novel genomic loci and epistatic interactions in wheat"
Gota Morota (Virginia Polytechnic Institute and State Univ., USA)

16:10-16:30 "Meteorological factors that affect G x E interactions of soybean revealed by historical data in breeding"
Akio Onogi (National Agriculture and Food Research Organization, Japan)

16:30-16:50 "Modeling drought stress response of soybean based on multi-omics data"
Hiroyoshi Iwata (Univ. of Tokyo, Japan)

16:50-17:00 Closing remarks (Gota Morota)

お問い合わせ (Contact): aiwata@mail.ecc.u-tokyo.ac.jp
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