title: Genomic analysis at the single-cell level.
abstract: Studying complex biological systems such as a developing embryo, a tumor, or a microbial ecosystem often involves understanding the behavior and heterogeneity of the individual cells that constitute the system and their interactions. In this review, we discuss a variety of approaches to single-cell genomic analysis.
authors.affiliation: Department of Bioengineering, Stanford University and Howard Hughes Medical Institute, Stanford, California 94305, USA. quake@stanford.edu
authors.forename: Tomer
authors.initials: T
authors.lastname: Kalisky
authors.forename: Paul
authors.initials: P
authors.lastname: Blainey
authors.forename: Stephen R
authors.initials: SR
authors.lastname: Quake
mesh_terms: D002477:Cells / Q000166:cytology*; D005434:Flow Cytometry; D023281:Genomics / Q000379:methods*; D057166:High-Throughput Screening Assays; D006801:Humans; D008853:Microscopy; D016133:Polymerase Chain Reaction / Q000379:methods; D017423:Sequence Analysis, RNA; D059010:Single-Cell Analysis / Q000295:instrumentation* / Q000379:methods*; D046888:Tissue Array Analysis