Challenges and emerging directions in single-cell analysis

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Challenges and emerging directions in single-cell analysis

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Title: Challenges and emerging directions in single-cell analysis
Author: Yuan, Guo-Cheng; Cai, Long; Elowitz, Michael; Enver, Tariq; Fan, Guoping; Guo, Guoji; Irizarry, Rafael; Kharchenko, Peter; Kim, Junhyong; Orkin, Stuart; Quackenbush, John; Saadatpour, Assieh; Schroeder, Timm; Shivdasani, Ramesh; Tirosh, Itay

Note: Order does not necessarily reflect citation order of authors.

Citation: Yuan, G., L. Cai, M. Elowitz, T. Enver, G. Fan, G. Guo, R. Irizarry, et al. 2017. “Challenges and emerging directions in single-cell analysis.” Genome Biology 18 (1): 84. doi:10.1186/s13059-017-1218-y.
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Abstract: Single-cell analysis is a rapidly evolving approach to characterize genome-scale molecular information at the individual cell level. Development of single-cell technologies and computational methods has enabled systematic investigation of cellular heterogeneity in a wide range of tissues and cell populations, yielding fresh insights into the composition, dynamics, and regulatory mechanisms of cell states in development and disease. Despite substantial advances, significant challenges remain in the analysis, integration, and interpretation of single-cell omics data. Here, we discuss the state of the field and recent advances and look to future opportunities.
Published Version: doi:10.1186/s13059-017-1218-y
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