sharpr2
Estimating Regulatory Scores and Identifying ATAC-STARR Data
An algorithm for identifying high-resolution driver elements for datasets from a high-definition reporter assay library. Xinchen Wang, Liang He, Sarah Goggin, Alham Saadat, Li Wang, Melina Claussnitzer, Manolis Kellis (2017) doi:10.1101/193136.
- Version1.1.1.0
- R version≥ 3.3.0 methods
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release05/16/2018
Team
Liang He
Li Wang
Xinchen Wang
Sarah Goggin
Alham Saadat
Melina Claussnitzer
Manolis Kellis
Insights
Last 30 days
This package has been downloaded 139 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 5 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 1,586 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 21 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports2 packages