Anyone interested in single-cell RNA-Seq analysis is likely to be interested in a paper published today by the Sanger in Nature Methods: Kiselev et al. (2017) SC3: consensus clustering of single-cell RNA-seq data. The new single-cell clustering tool performs better than 5 other methods: tSNE + k-means clustering, pcaReduce, SNN-Cliq, SINCERA and SEURAT across the benchmark datasets used in the paper. And with a run time for 2,000 cells of just ~20 minutes.
The Sanger press release is here: New tool allows analysis of single-cell RNA data in pre-malignant tumours.