Which tools for differential expression analysis in scRNA-Seq? I am starting to run analysis for differential expression in scRNA-Seq. Which tools are available for this kind of analysis?

Can tools for bulk RNA-Seq like DESeq be used for scRNA-Seq?
According to Jaakkola et al. (ref. 1):


  Based on our comparisons, DESeq and Limma without any modifications are not suitable for scRNA-seq data analysis, and yet, they have performed well in the context of bulk RNA-seq data.


They also provided a summary of the comparison between 5 tools (2 designed for Single-Cell, 2 designed for bulk, 1 general): 

 

In my case I ended up using MAST (ref. 2, github).


Jaakkola, M. K., Seyednasrollah, F., Mehmood, A. &amp; Elo, L. L. Comparison of methods to detect differentially expressed genes between single-cell populations. Briefings in Bioinformatics 18, 735–743 (2017).
Finak, G. et al. MAST: A flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data. Genome Biol. 16, 1183 (2015).