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Jianshi Jin

Showing results (1-10 of 18) with videos related to

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Imetaomics|February 12, 2026
Long journey of 16S rRNA-amplicon sequencing toward cell-based functional bacterial microbiota characterizationJianshi Jin, Xiongduo Liu, Katsuyuki Shiroguchi
Protein & Cell|August 18, 2021
Cancer biology deciphered by single-cell transcriptomic sequencingYanmeng Li, Jianshi Jin, Fan Bai
Nature Protocols|November 27, 2023
High-throughput identification and quantification of bacterial cells in the microbiota based on 16S rRNA sequencing with single-base accuracy using BarBIQJianshi Jin, Reiko Yamamoto, Katsuyuki Shiroguchi
Scientific Reports|October 3, 2023
KaScape: a sequencing-based method for global characterization of protein‒DNA binding affinityHong Chen, Yongping Xu, Jianshi Jin, et al.
Scientific Reports|July 8, 2016
The effects of cytosine methylation on general transcription factorsJianshi Jin, Tengfei Lian, Chan Gu, et al.
The Analyst|September 15, 2010
Highly sensitive identification of cancer cells by combining the new tetrathiafulvalene derivative with a β-cyclodextrin/multi-walled carbon nanotubes modified GCEJuan Zhao, Jianshi Jin, Chunhui Wu, et al.
Scientific Reports|July 28, 2016
Deep sequencing reveals global patterns of mRNA recruitment during translation initiationRong Gao, Kai Yu, Jukui Nie, et al.
Nature Communications|February 23, 2022
High-throughput identification and quantification of single bacterial cells in the microbiotaJianshi Jin, Reiko Yamamoto, Tadashi Takeuchi, et al.
Proceedings of the National Academy of Sciences of the United States of America|December 28, 2022
Robotic data acquisition with deep learning enables cell image-based prediction of transcriptomic phenotypesJianshi Jin, Taisaku Ogawa, Nozomi Hojo, et al.
ISME Communications|April 2, 2026
Migration-driven microbial adaptation and ecological spillover in birdsAmina Tufail, Tingbei Bo, Na Zhao, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Imetaomics|February 12, 2026
Long journey of 16S rRNA-amplicon sequencing toward cell-based functional bacterial microbiota characterizationJianshi Jin, Xiongduo Liu, Katsuyuki Shiroguchi
Protein & Cell|August 18, 2021
Cancer biology deciphered by single-cell transcriptomic sequencingYanmeng Li, Jianshi Jin, Fan Bai
Nature Protocols|November 27, 2023
High-throughput identification and quantification of bacterial cells in the microbiota based on 16S rRNA sequencing with single-base accuracy using BarBIQJianshi Jin, Reiko Yamamoto, Katsuyuki Shiroguchi
Scientific Reports|October 3, 2023
KaScape: a sequencing-based method for global characterization of protein‒DNA binding affinityHong Chen, Yongping Xu, Jianshi Jin, et al.
Scientific Reports|July 8, 2016
The effects of cytosine methylation on general transcription factorsJianshi Jin, Tengfei Lian, Chan Gu, et al.
The Analyst|September 15, 2010
Highly sensitive identification of cancer cells by combining the new tetrathiafulvalene derivative with a β-cyclodextrin/multi-walled carbon nanotubes modified GCEJuan Zhao, Jianshi Jin, Chunhui Wu, et al.
Scientific Reports|July 28, 2016
Deep sequencing reveals global patterns of mRNA recruitment during translation initiationRong Gao, Kai Yu, Jukui Nie, et al.
Nature Communications|February 23, 2022
High-throughput identification and quantification of single bacterial cells in the microbiotaJianshi Jin, Reiko Yamamoto, Tadashi Takeuchi, et al.
Proceedings of the National Academy of Sciences of the United States of America|December 28, 2022
Robotic data acquisition with deep learning enables cell image-based prediction of transcriptomic phenotypesJianshi Jin, Taisaku Ogawa, Nozomi Hojo, et al.
ISME Communications|April 2, 2026
Migration-driven microbial adaptation and ecological spillover in birdsAmina Tufail, Tingbei Bo, Na Zhao, et al.
Pageof 2