Computational and analytical challenges in single-cell transcriptomics

@article{Stegle2015ComputationalAA,
  title={Computational and analytical challenges in single-cell transcriptomics},
  author={O. Stegle and S. Teichmann and J. Marioni},
  journal={Nature Reviews Genetics},
  year={2015},
  volume={16},
  pages={133-145}
}
The development of high-throughput RNA sequencing (RNA-seq) at the single-cell level has already led to profound new discoveries in biology, ranging from the identification of novel cell types to the study of global patterns of stochastic gene expression. Alongside the technological breakthroughs that have facilitated the large-scale generation of single-cell transcriptomic data, it is important to consider the specific computational and analytical challenges that still have to be overcome… Expand

Figures, Tables, and Topics from this paper

Single-cell transcriptome sequencing: recent advances and remaining challenges
Single-Cell Transcriptomics: Current Methods and Challenges in Data Acquisition and Analysis
Quantitative single-cell transcriptomics
Single-cell RNA sequencing: Technical advancements and biological applications.
Identification of Cell Types from Single-Cell Transcriptomic Data.
Single-cell RNA-sequencing: The future of genome biology is now
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 95 REFERENCES
Quantitative assessment of single-cell RNA-sequencing methods
Quantitative single-cell RNA-seq with unique molecular identifiers
RNA-Seq: a revolutionary tool for transcriptomics
...
1
2
3
4
5
...