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I developed a package that integrates multi-omics to identify putative enhancer regions, and it utilizes the Gviz package to visualize these. However, loading several -omics layers on top of the annotated tracks is time consuming. It takes ~ 1-2 min, depending on CPU and memory availability on a laptop. I was hoping to find a way to speed up this process, and wanted to know whether or not Gviz can handle multithreading or work with other packages in R that are focused on parallel processing.
I was able to get around the loading issue on Shiny by creating a permanent cache on AWS S3, but these only exist for indices already run. For those that haven't, it takes 2 minutes and may drive users away.
Please let me know if you have any suggestions or thoughts. Thank you!
The text was updated successfully, but these errors were encountered:
I developed a package that integrates multi-omics to identify putative enhancer regions, and it utilizes the Gviz package to visualize these. However, loading several -omics layers on top of the annotated tracks is time consuming. It takes ~ 1-2 min, depending on CPU and memory availability on a laptop. I was hoping to find a way to speed up this process, and wanted to know whether or not Gviz can handle multithreading or work with other packages in R that are focused on parallel processing.
Package link here: https://github.com/Huising-Lab/epiRomics
Shiny app here: https://huisinglab.shinyapps.io/epiRomics/
I was able to get around the loading issue on Shiny by creating a permanent cache on AWS S3, but these only exist for indices already run. For those that haven't, it takes 2 minutes and may drive users away.
Please let me know if you have any suggestions or thoughts. Thank you!
The text was updated successfully, but these errors were encountered: