Author

Motoki Nagai

University of Tsukuba

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genomics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:E. coli· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Bei‐Wen YingiD· 2 shared Honoka Aida· 1 shared Keisuke Uchida· 1 shared Masaomi KurokawaiD· 1 shared Naoki TakayaiD· 1 shared Shunsuke MasuoiD· 1 shared Takamasa Hashizume· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 16 mutual co-author links

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2 shared papersSystems Biology

Bei‐Wen YingORCID

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2 papers

Recent·Most cited

Systems BiologyComputational and Structural Biotechnology JournalPeer-reviewedJan 1, 2023

Machine learning-assisted medium optimization revealed the discriminated strategies for improved production of the foreign and native metabolites

Honoka Aida, Keisuke Uchida, Motoki Nagai…·Bei‐Wen Ying

The paper uses machine learning to optimize medium composition for improved production of foreign and native metabolites in Escherichia coli.

23 citations

E. coliproteomics

𝕏 PostBluesky

GenomicsbioRxivPreprintMay 24, 2020

The common chromosomal periodicity of transcriptomes is correlated with the bacterial growth rate

Motoki Nagai, Masaomi Kurokawa, Bei‐Wen Ying

The paper identifies a common chromosomal periodicity in bacterial transcriptomes correlated with growth rate, providing a global parameter for evaluating bacterial adaptiveness.

DOI 10.1101/2020.05.24.113886

E. colibulk RNA-seq

𝕏 PostBluesky