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YING BEIWEN

YING, BEIWEN

生命環境系 , 准教授
Institute of Life and Environmental Sciences , Associate Professor

http://www.u.tsukuba.ac.jp/~ying.beiwen.gf/index.html

人工知能を用いた細胞培養のための培地最適化手法を開発

2023-05-30

YING BEIWEN
Machine-learning analysis of bacterial growth dynamics

2022-11-30

YING BEIWEN
#018 絶滅しないための栄養バランス！ビッグデータ解析から垣間見る微生物の生きる知恵

2022-09-22

YING BEIWEN
生物実験と機械学習による分析から細菌増殖におけるリスク分散の生存戦略を発見

2022-08-30

YING BEIWEN
地球で最初に誕生した生物は球状だった可能性を実証

2022-01-11

YING BEIWEN
細菌の増殖に決定的な影響を及ぼす化学物質をビッグデータ解析で予測

2019-09-03

YING BEIWEN 天笠 俊之
オープンアクセス版の論文は「つくばリポジトリ」で読むことができます。
  1. 1. Experimental mapping of bacterial fitness landscapes reveals eco-evolutionary fingerprints ZHANG, Shuyang; YING, BEIWEN
      Scientific Reports (2025)
  2. 2. Biology-aware machine learning for culture medium optimization. HASHIZUME, Takamasa; YING; BEIWEN
      New BIOTECHNOLOGY 89: 141 (2025)
  3. 3. Population Dynamics of Escherichia coli Growing under Chemically Defined Media AIDA, honoka; YING, BEIWEN
      Scientific Data 12: (2025)
  4. 4. A data-driven approach for cell culture medium optimization. OZAWA, Yuki; HASHIZUME, Takamasa; YING; BEIWEN
      Biochemical Engineering Journal 214: (2025) Semantic Scholar
  5. 5. Data-driven discovery of the interplay between genetic and environmental factors in bacterial growth AIDA, honoka; YING, BEIWEN
      COMMUNICATIONS BIOLOGY 7: (2024)
  6. 6. Experimental evolution for the recovery of growth loss due to genome reduction HITOMI, Kenya; ISHII, Yoichiro; YING, BEIWEN
      ELIFE 13: (2024)
  7. 7. Challenges in developing cell culture media using machine learning HASHIZUME, Takamasa; YING; BEIWEN
      BIOTECHNOLOGY ADVANCES 70: (2024)
  8. 8. Employing Active Learning in Medium Optimization for Selective Bacterial Growth ZHANG, Shuyang; AIDA, Honoka; YING, BEIWEN
      Applied Microbiology 3: 1355 (2023) Semantic Scholar
  9. 9. Active learning for medium optimization for selective bacterial culture ZHANG, Shuyang; AIDA, Honoka; YING, BEIWEN
      bioRxiv (2023)
  10. 10. Diversity for commonality in the evolutionary changes of the reduced genome to regain the growth fitness HITOMI, Kenya; ISHII, Yoichiro; YING, BEIWEN
      Elife (2023)
  11. 11. Efforts to Minimise the Bacterial Genome as a Free-Living Growing System AIDA, honoka; YING, BEIWEN
      BIOLOGY-BASEL 12: (2023) Semantic Scholar
  12. 12. Employing active learning in the optimization of culture medium for mammalian cells HASHIZUME, Takamasa; OZAWA, Yuki; YING, BEIWEN
      NPJ SYSTEMS BIOLOGY AND APPLICATIONS 9: (2023)
  13. 13. Growth rate-associated transcriptome reorganization in response to genomic, environmental, and evolutionary interruptions MATSUI, Yuichiro; NAGAI, Motoki; YING, BEIWEN
      FRONTIERS IN MICROBIOLOGY 14: (2023) Semantic Scholar
  14. 14. Machine learning-assisted medium optimization revealed the discriminated strategies for improved production of the foreign and native metabolites. AIDA, Honoka; UCHIDA, Keisuke; NAGAI, Motoki; HASHIZUME, Takamasa (+2 著者) YING, BEIWEN
      COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL 21: 2654 (2023) Semantic Scholar
  15. 15. Global coordination of the mutation and growth rates across the genetic and nutritional variety in Escherichia coli LAO, Zehui; MATSUI, Yuichiro; IJICHI, Shinya; YING, BEIWEN
      FRONTIERS IN MICROBIOLOGY 13: (2022) Semantic Scholar
  16. 16. Contribution of the genomic and nutritional differentiation to the spatial distribution of bacterial colonies. HITOMI, Kenya; WENG, Jieruiyi; YING, BEIWEN
      FRONTIERS IN MICROBIOLOGY 13: (2022) Semantic Scholar
  17. 17. Machine learning-assisted discovery of growth decision elements by relating bacterial population dynamics to environmental diversity. AIDA, honoka; HASHIZUME, Takamasa; ASHINO, Kazuha; YING, BEIWEN
      ELIFE 11: (2022)
  18. 18. Experimental evolution expands the breadth of adaptation to an environmental gradient correlated with genome reduction. KUROKAWA, Masaomi; NISHIMURA, Issei; YING, BEIWEN
      Front Microbiol 13: (2022) Semantic Scholar
  19. 19. Primordial mimicry induces morphological change in Escherichia coli Lu, Hui; Aida, honoka; KUROKAWA, Masaomi; Chen, Feng (+4 著者) Yomo, Tetsuya
      Commun Biol 5: (2022) Semantic Scholar
  20. 20. Local adaptation mediated niche expansion in correlation with genetic richness KUROKAWA, Masaomi; NISHIMURA, Issei; YING, BEIWEN
      bioRxiv (2021) Semantic Scholar
1 2 3 4
  1. 1. 機械学習でできる！細胞培養の最適化 YING, Beiwen
    2025年5月 (ISBN: 9784274233555)
  2. 2. Stress and Environmental Regulation of Gene Expression and Adaptation in Bacteria YING,BEIWEN; YOMO,Tetsuya (担当:分担執筆, 範囲:Comparative analyses of bacterial transcriptome reorganisation in response to temperature increase.)
    2016年5月 (ISBN: 9781119004882)
  3. 3. Advances in Applied Biotechnology YING,BEIWEN; YOMO,Tetsuya (担当:分担執筆, 範囲:Built-in synthetic gene circuits in Escherichia coli – methodology and applications.)
    2012年1月
  4. 4. Protein Engineering Handbook YING,BEIWEN; UEDA,Takuya (担当:分担執筆, 範囲:Protein generation using a reconstituted system.)
    2009年1月
  5. 5. Cell-Free Expression YING,BEIWEN; SHIMIZU,Yoshihiro; UEDA,Takuya (担当:分担執筆, 範囲:The PURE system: a minimal cell-free translation system.)
    2007年12月

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