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Hi,
I have been closely following the groundbreaking work from Professor Bing Ren’s lab and frequently manage single-cell ATAC-seq projects. SnapATAC2 has become my primary tool for processing this data; I truly appreciate the efficiency and scalability it brings to the field.
While the analytical performance is exceptional, I have found that the current visualization component—largely based on Plotly—often falls short of publication-quality standards. While Plotly is excellent for interactive web-based exploration, its aesthetic style and rendering are often not ideally suited for the rigorous formatting requirements of scientific journals. I understand this is partly due to the historical lack of high-quality, publication-ready plotting libraries within the Rust ecosystem.
To address this, I have developed Charton (https://github.com/wangjiawen2013/charton), a native Rust visualization library specifically designed to produce publication-quality graphics.
I believe SnapATAC2 is an elite workflow that deserves a visual output of the same caliber. I would love for you to take a look at Charton to see if it might be a viable candidate for future integration, perhaps eventually replacing or supplementing the current Plotly implementation.
Thank you for your incredible contribution to the community. I look forward to hearing your thoughts.