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A brief review of single-cell transcriptomic technologies
Author(s) -
Tomer Kalisky,
Sarit Oriel,
Tali Hana Bar-Lev,
Nissim Ben-Haim,
Ariel Trink,
Yishay Wineberg,
Itamar Kanter,
Shlomit Gilad,
Saumyadipta Pyne
Publication year - 2017
Publication title -
briefings in functional genomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.22
H-Index - 67
eISSN - 2041-2647
pISSN - 2041-2649
DOI - 10.1093/bfgp/elx019
Subject(s) - biology , biomedicine , emerging technologies , computational biology , data science , transcriptome , field (mathematics) , gene , bioinformatics , gene expression , genetics , computer science , artificial intelligence , mathematics , pure mathematics
In recent years, there has been an effort to develop new technologies for measuring gene expression and sequence information from thousands of individual cells. Large data sets that were obtained using these 'single cell' technologies have allowed scientists to address fundamental questions in biomedicine ranging from stems cells and development to cancer and immunology. Here, we provide a brief review of recent developments in single-cell technology. Our intention is to provide a quick background for newcomers to the field as well as a deeper description of some of the leading technologies to date.

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