demuellae
commented
3 years ago Dear Maggie, ArchR provides a great toolset for single-cell analysis. ChrAccR was first designed to provide a comprehensive pipeline and utilities for the analysis of bulk data. Then, we started to implement selected single-cell functionality in order to be able to quickly try out and prototype new methods in the rapidly changing field single-cell. In the meantime, ArchR set out to really make an effort on efficicient and robust implementation of a comprehensive set of single-cell methods. Many of the single-cell methods in ChrAccR were kindly provided from early versions of the code that was authored by the ArchR developers and that resulted in the ArchR package. So, in brief, here's how I use the tools: ChrAccR for comprehensive bulk analysis and playing around with single-cell data, ArchR for robust and efficient analysis of single-cell data using established and well-tested methods. I am happy to chat more about the functionality of the tools and discuss what the right tool would be for your project. Hope that helps!
Hello, I am a user of ArchR for about a year now and have come across ChrAccR just by browsing the GreenleafLab GitHub page. I'm curious how ChrAccR plans to be advantageous in comparison to ArchR, would love to know more about the motivations for this tool. Thanks.