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システム生命医科学分野 神元研究室
Showing the original Japanese · View translation
コンピュータ上で生命の制御ルールを読み解き予測する、研究室。
AboutAbout the lab
分野融合で生物学・医学・生命工学研究の推進を目指す。
神元研究室は、
コンピュータ上
培養細胞を
特に、
Key terms
- in silico
- コンピュータ上で
再構築した 生命の モデルを 使って、 生命の 仕組みを 調べる 研究の あり方 - Wet研究
- 培養細胞実験、
DNA実験などの 生物学実験に よる 研究 - Dry研究
- AI、
機械学習、 バイオインフォマティクス、 モデリングなどの 情報解析に よる 研究
NewsLab news
View More ↗ResearchResearch themes
細胞や
*Illustrative imageデータから生命のルールを解読
新しい
*Illustrative image生命の挙動を予測するモデル
解読した
*Illustrative imageモデルで細胞や組織を設計・操作
予測モデルを
MembersFaculty
- Professor神元 健児
- Assistant Professor伊藤 謙治
- Project Assistant Professor野崎 修平
- Project Assistant Professor萩原 佑紀
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Beckman Coulter CEQ 8800” Herodotptlomeu / CC BY-SA 4.0 (cropped)
- データから
生命の ルールを 解読: “TIGR lab Old DNA sequencers” Steve Jurvetson / CC BY 2.0 (cropped) - 生命の
挙動を 予測する モデル: “Athena supercomputer cluster” NASA / Public domain (cropped) - モデルで
細胞や 組織を 設計・ 操作: “Synthetic Biology Research at NASA Ames” Alexander van Dijk from San Francisco, United States / CC BY 2.0 (cropped) - Related lab (情報伝達分野 高倉研究室): “Bovine Pulmonary Artery Endothelial Cells Fluorescent Image 3” Erin Rod / CC BY 4.0 (cropped)
- Related lab (感染腫瘍制御分野 幸谷研究室): “Epstein-Barr Virus (EBV) Particles” NIAID / CC BY 2.0 (cropped)
- Related lab (ウイルス免疫分野 小林研究室): “Multiple rotavirus particles” Dr Graham Beards / CC BY 3.0 (cropped)
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