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Quartz-Seq2: a high-throughput single-cell RNA-sequencing method that effectively uses limited sequence reads

View ORCID ProfileYohei Sasagawa, Hiroki Danno, Hitomi Takada, View ORCID ProfileMasashi Ebisawa, Tetsutaro Hayashi, View ORCID ProfileAkira Kurisaki, View ORCID ProfileItoshi Nikaido
doi: https://doi.org/10.1101/159384
Yohei Sasagawa
1Bioinformatics Research Unit, Advanced Center for Computing and Communication, RIKEN, Hirosawa 2-1, Wako, Saitama, Japan
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  • ORCID record for Yohei Sasagawa
Hiroki Danno
1Bioinformatics Research Unit, Advanced Center for Computing and Communication, RIKEN, Hirosawa 2-1, Wako, Saitama, Japan
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Hitomi Takada
2Laboratory of Stem Cell Technology, Graduate School of Biological Sciences, Nara Institute of Science and Technology, Takayama-cho 8916-5, Ikoma, Nara, Japan
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Masashi Ebisawa
1Bioinformatics Research Unit, Advanced Center for Computing and Communication, RIKEN, Hirosawa 2-1, Wako, Saitama, Japan
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Tetsutaro Hayashi
1Bioinformatics Research Unit, Advanced Center for Computing and Communication, RIKEN, Hirosawa 2-1, Wako, Saitama, Japan
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Akira Kurisaki
2Laboratory of Stem Cell Technology, Graduate School of Biological Sciences, Nara Institute of Science and Technology, Takayama-cho 8916-5, Ikoma, Nara, Japan
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Itoshi Nikaido
1Bioinformatics Research Unit, Advanced Center for Computing and Communication, RIKEN, Hirosawa 2-1, Wako, Saitama, Japan
3Single-cell Omics Research Unit, RIKEN Center for Developmental Biology. 2-2-3 Minatojima-minamimachi, Chuou-ku, Kobe, Japan
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  • ORCID record for Itoshi Nikaido
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Posted July 21, 2017.
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Quartz-Seq2: a high-throughput single-cell RNA-sequencing method that effectively uses limited sequence reads
Yohei Sasagawa, Hiroki Danno, Hitomi Takada, Masashi Ebisawa, Tetsutaro Hayashi, Akira Kurisaki, Itoshi Nikaido
bioRxiv 159384; doi: https://doi.org/10.1101/159384
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Quartz-Seq2: a high-throughput single-cell RNA-sequencing method that effectively uses limited sequence reads
Yohei Sasagawa, Hiroki Danno, Hitomi Takada, Masashi Ebisawa, Tetsutaro Hayashi, Akira Kurisaki, Itoshi Nikaido
bioRxiv 159384; doi: https://doi.org/10.1101/159384

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