Research field (4)：
Evolutionary biology
, Genomics
, Biological, health, and medical informatics
, Horticulture
Research keywords (2)：
data mining
, bioinformatics
Research theme for competitive and other funds (4)：
2022 - 2027 受粉時における自殖性と他殖性の質的・量的バランスを制御する分子機構と選択圧
2021 - 2024 宿主ゲノムとウイロイドゲノムを活用した病徴予測モデルの開発
2016 - 2021 ハイブリッド新種ゲノムが有するオミクス適応能の包括的な解析
2015 - 2017 RNA-seqから得られる多群間比較トランスクリプトーム解析手法の開発
Papers (12)：
Reiko Akiyama, Takao Goto, Toshiaki Tameshige, Jiro Sugisaka, Ken Kuroki, Jianqiang Sun, Junichi Akita, Masaomi Hatakeyama, Hiroshi Kudoh, Tanaka Kenta, et al. Seasonal pigment fluctuation in diploid and polyploid Arabidopsis revealed by machine learning-based phenotyping method PlantServation. Nature Communications. 2023. 14. 1
Jianqiang Sun, Moeko Okada, Toshiaki Tameshige, Rie Shimizu-Inatsugi, Reiko Akiyama, Atsushi J Nagano, Jun Sese, Kentaro K Shimizu. A low-coverage 3' RNA-seq to detect homeolog expression in polyploid wheat. NAR genomics and bioinformatics. 2023. 5. 3. lqad067
Shigeki Kishi, Jianqiang Sun, Akira Kawaguchi, Sunao Ochi, Megumi Yoshida, Takehiko Yamanaka. Characteristic features of statistical models and machine learning methods derived from pest and disease monitoring datasets. Royal Society Open Science. 2023. 10. 6
Jianqiang Sun, Wei Cao, Xi Fu, Sunao Ochi, Takehiko Yamanaka. Few-shot learning for plant disease recognition: A review. Agronomy Journal. 2023
Jianqiang Sun, Wei Cao, Takehiko Yamanaka. JustDeepIt: Software tool with graphical and character user interfaces for deep learning-based object detection and segmentation in image analysis. Frontiers in Plant Science. 2022. 13
