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Koji Arikawa

Showing results (1-10 of 22) with videos related to

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Computational and Structural Biotechnology Journal|September 29, 2023
Uncultured prokaryotic genomes in the spotlight: An examination of publicly available data from metagenomics and single-cell genomicsKoji Arikawa, Masahito Hosokawa
Microbiology Resource Announcements|August 29, 2020
High-Quality Draft Single-Cell Genome Sequences of Two <i>Gammaproteobacteria</i> Strains Sampled from Soil in a Strawberry FarmTakuya Yoda, Koji Arikawa, Tatsuya Saeki, et al.
Scientific Reports|November 24, 2016
Vertical flow array chips reliably identify cell types from single-cell mRNA sequencing experimentsMasataka Shirai, Koji Arikawa, Kiyomi Taniguchi, et al.
Nature Communications|March 11, 2020
Time-lapse single-cell transcriptomics reveals modulation of histone H3 for dormancy breaking in fission yeastHayato Tsuyuzaki, Masahito Hosokawa, Koji Arikawa, et al.
Frontiers in Microbiology|March 13, 2023
Revealing within-species diversity in uncultured human gut bacteria with single-cell long-read sequencingMasato Kogawa, Yohei Nishikawa, Tatsuya Saeki, et al.
Analytical Biochemistry|December 3, 2014
A highly sensitive and accurate gene expression analysis by sequencing ("bead-seq") for a single cellHiroko Matsunaga, Mari Goto, Koji Arikawa, et al.
Microbiome|October 2, 2024
A single amplified genome catalog reveals the dynamics of mobilome and resistome in the human microbiomeTetsuro Kawano-Sugaya, Koji Arikawa, Tatsuya Saeki, et al.
Scientific Reports|April 29, 2020
Effective microtissue RNA extraction coupled with Smart-seq2 for reproducible and robust spatial transcriptome analysisMiki Yamazaki, Masahito Hosokawa, Koji Arikawa, et al.
Disease Models & Mechanisms|May 25, 2022
Identification of two cancer stem cell-like populations in triple-negative breast cancer xenograftsJun Nakayama, Hiroko Matsunaga, Koji Arikawa, et al.
Frontiers in Microbiology|August 22, 2022
Exploring strain diversity of dominant human skin bacterial species using single-cell genome sequencingKeigo Ide, Tatsuya Saeki, Koji Arikawa, et al.
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
Computational and Structural Biotechnology Journal|September 29, 2023
Uncultured prokaryotic genomes in the spotlight: An examination of publicly available data from metagenomics and single-cell genomicsKoji Arikawa, Masahito Hosokawa
Microbiology Resource Announcements|August 29, 2020
High-Quality Draft Single-Cell Genome Sequences of Two <i>Gammaproteobacteria</i> Strains Sampled from Soil in a Strawberry FarmTakuya Yoda, Koji Arikawa, Tatsuya Saeki, et al.
Scientific Reports|November 24, 2016
Vertical flow array chips reliably identify cell types from single-cell mRNA sequencing experimentsMasataka Shirai, Koji Arikawa, Kiyomi Taniguchi, et al.
Nature Communications|March 11, 2020
Time-lapse single-cell transcriptomics reveals modulation of histone H3 for dormancy breaking in fission yeastHayato Tsuyuzaki, Masahito Hosokawa, Koji Arikawa, et al.
Frontiers in Microbiology|March 13, 2023
Revealing within-species diversity in uncultured human gut bacteria with single-cell long-read sequencingMasato Kogawa, Yohei Nishikawa, Tatsuya Saeki, et al.
Analytical Biochemistry|December 3, 2014
A highly sensitive and accurate gene expression analysis by sequencing ("bead-seq") for a single cellHiroko Matsunaga, Mari Goto, Koji Arikawa, et al.
Microbiome|October 2, 2024
A single amplified genome catalog reveals the dynamics of mobilome and resistome in the human microbiomeTetsuro Kawano-Sugaya, Koji Arikawa, Tatsuya Saeki, et al.
Scientific Reports|April 29, 2020
Effective microtissue RNA extraction coupled with Smart-seq2 for reproducible and robust spatial transcriptome analysisMiki Yamazaki, Masahito Hosokawa, Koji Arikawa, et al.
Disease Models & Mechanisms|May 25, 2022
Identification of two cancer stem cell-like populations in triple-negative breast cancer xenograftsJun Nakayama, Hiroko Matsunaga, Koji Arikawa, et al.
Frontiers in Microbiology|August 22, 2022
Exploring strain diversity of dominant human skin bacterial species using single-cell genome sequencingKeigo Ide, Tatsuya Saeki, Koji Arikawa, et al.
Pageof 3