Matching queried single-cell open-chromatin profiles to large pools of single-cell transcriptomes and epigenomes for reference supported analysis.

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作者： Shreya,Mishra ^[1] ; Neetesh,Pandey ^[1] ; Smriti,Chawla ^[1] ; Madhu,Sharma ^[1] ; Omkar,Chandra ^[1] ; Indra Prakash,Jha ^[1] ; Debarka,SenGupta ^[1] ; Kedar Nath,Natarajan ^[2] ; Vibhor,Kumar ^[3]

作者单位： Department for Computational Biology, IIIT Delhi 110020, India. ^[1] Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane 4001, Australia. ^[2] DTU Bioengineering, Technical University of Denmark, DK-2800 Kgs. Lyngby, Denmark kenana@dtu.dk vibhor@iiitd.ac.in. ^[3] Department for Computational Biology, IIIT Delhi 110020, India; kenana@dtu.dk vibhor@iiitd.ac.in. ^[4]

主题词人类(Humans);染色质(Chromatin);胚胎干细胞(Embryonic Stem Cells);单细胞分析(Single-Cell Analysis)

DOI 10.1101/gr.277015.122

PMID 36653120

发布时间 2023-08-02

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