Rchr
J-GLOBAL ID：202301015462890139
Update date: Oct. 31, 2023
Yokoyama Daiki
ヨコヤマ ダイキ | Yokoyama Daiki
Affiliation and department：
Job title：
Young Reserch Fellow
Research keywords (5)：
Ecosystem Ecology
, Community Ecology
, Microbiome
, Multi-omics
, Data Science
Research theme for competitive and other funds (5)：
- 2023 - 2026 Learning Ecosystem Dynamics using Neural Ordinary Differential Equations
- 2022 - 2023 持続可能な環境修復を実現するための環境・生物要因解析-環境科学プラットフォーム拠点 の形成に向けてー
- 2021 - 2022 持続可能な環境修復を実現するための環境・生物要因解析 -環境科学プラットフォーム拠点の形成に向けて-
- 2021 - 2022 Ecosystem structure of the Tsurumi river inferred from omics and data science
- 2016 - 2018 リン欠乏環境下における樹木・微生物の土壌有機態リン獲得戦略
Papers (12)：
-
Hiroshi Kudo, Ning Han, Daiki Yokoyama, Tomoko Matsumoto, Mei Fang Chien, Jun Kikuchi, Chihiro Inoue. Bayesian network highlights the contributing factors for efficient arsenic phytoextraction by Pteris vittata in a contaminated field. Science of the Total Environment. 2023. 899
-
Daiki Yokoyama, Jun Kikuchi. Inferring microbial community assembly in an urban river basin through geo-multi-omics and phylogenetic bin-based null-model analysis of surface water. Environmental Research. 2023. 231
-
Daiki Yokoyama, Ayari Takamura, Yuuri Tsuboi, Jun Kikuchi. Large-scale omics dataset of polymer degradation provides robust interpretation for microbial niche and succession on different plastisphere. ISME communications. 2023. 3. 1. 67-67
-
Shunji Yamada, Yuuri Tsuboi, Daiki Yokoyama, Jun Kikuchi. Polymer composition optimization approach based on feature extraction of bound and free water using time-domain nuclear magnetic resonance. Journal of Magnetic Resonance. 2023. 351
-
Hideaki Shima, Izumi Murata, Wei Feifei, Kenji Sakata, Daiki Yokoyama, Jun Kikuchi. Identification of salmoniformes aquaculture conditions to increase creatine and anserine levels using multiomics dataset and nonnumerical information. Frontiers in Microbiology. 2022. 13
ｍore...
MISC (2)：
-
横山大稀. データサイエンスで複雑な生態系動態を理解する. 生物工学会誌. 2023. 101. 2
-
岡田慶一, 横山大稀, 北山兼弘. 熱帯における標高勾配と地質の変化に沿った外生菌根量の変化. 根の研究. 2013. 22. 1
Return to Previous Page
