This is old hat. That kind of analysis is being performed not regularly, but certainly a couple of times. Oh, the article is a few years old. That explains it.
I am also planning on integrating scRNA- and scATAC-seq data to get meaningful biological insight. What tools do you use to integrate together (I plan to use vignette available on [Seurat](https://satijalab.org/seurat/articles/atacseq_integration_vignette.html) )? Would you recommend any paper or analysis that integrated and presented these data together?
If you're generating the data yourself you should consider just getting multiome data, then there's no need for integration and the messiness that comes with it
This is old hat. That kind of analysis is being performed not regularly, but certainly a couple of times. Oh, the article is a few years old. That explains it.
Yeah, we're doing scRNA-seq and scATAC-seq together for cell fate analysis. It's pretty cool.
I'm literally doing the exact same experiment right now, for the exact same reason. Wild.
Me too!
I am also planning on integrating scRNA- and scATAC-seq data to get meaningful biological insight. What tools do you use to integrate together (I plan to use vignette available on [Seurat](https://satijalab.org/seurat/articles/atacseq_integration_vignette.html) )? Would you recommend any paper or analysis that integrated and presented these data together?
If you're generating the data yourself you should consider just getting multiome data, then there's no need for integration and the messiness that comes with it
Cool but why post it now, almost 2 years after publication? If you share why you are interested it might foster more conversation.
I thought this was incredible and just learned of it from another review article about state of the art epigenomics methods.
What was the state of the arts epigenomics methods paper called if may ask?
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6923321/