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Processing, visualising and reconstructing network models from single‐cell data
Author(s) -
Woodhouse Steven,
Moignard Victoria,
Göttgens Berthold,
Fisher Jasmin
Publication year - 2016
Publication title -
immunology and cell biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.999
H-Index - 104
eISSN - 1440-1711
pISSN - 0818-9641
DOI - 10.1038/icb.2015.102
Subject(s) - profiling (computer programming) , computer science , computational biology , visualization , gene expression profiling , raw data , gene expression , data mining , biology , gene , genetics , operating system , programming language
New single‐cell technologies readily permit gene expression profiling of thousands of cells at single‐cell resolution. In this review, we will discuss methods for visualisation and interpretation of single‐cell gene expression data, and the computational analysis needed to go from raw data to predictive executable models of gene regulatory network function. We will focus primarily on single‐cell real‐time quantitative PCR and RNA‐sequencing data, but much of what we cover will also be relevant to other platforms, such as the mass cytometry technology for high‐dimensional single‐cell proteomics.