Design and computational analysis of single-cell RNA-sequencing experiments

Genome Biol. 2016 Apr 7;17:63. doi: 10.1186/s13059-016-0927-y.

Abstract

Single-cell RNA-sequencing (scRNA-seq) has emerged as a revolutionary tool that allows us to address scientific questions that eluded examination just a few years ago. With the advantages of scRNA-seq come computational challenges that are just beginning to be addressed. In this article, we highlight the computational methods available for the design and analysis of scRNA-seq experiments, their advantages and disadvantages in various settings, the open questions for which novel methods are needed, and expected future developments in this exciting area.

Publication types

  • Research Support, N.I.H., Extramural
  • Review

MeSH terms

  • Animals
  • Computational Biology / methods*
  • Databases, Genetic
  • High-Throughput Nucleotide Sequencing / methods
  • Humans
  • Sequence Analysis, RNA / methods*
  • Single-Cell Analysis / methods*