RLSeq
was run on default settings with R-loop mapping data uploaded to RLBase.
Briefly, the uploaded file was read into R and converted to an RLRanges object.
Then, the core RLSeq pipeline was executed with the RLSeq::RLSeq() function.
The resulting RLRanges object, now containing all available results,
was then saved and uploaded to an AWS S3 bucket. Finally, the RLRanges object
was passed to the RLSeq::report() function to generate an HTML report. The
report was also uploaded to an AWS S3 bucket along with all log files.
NOTE: Due to size limitations, we are unable to provide the ability to analyze correlations as this requires submitting bigWig files. To learn more, check out the RLSeq R package.
If you find any errors or issues, please contact the package maintainer (RLBase repo).
| Item | Value |
|---|---|
| Run ID | efe676b1-2a6f-4535-826f-acf2c1f4a210 |
| Sample Name | SRX1070676 |
| Peaks | SRX1070676_hg38.broadPeak |
| Label | POS |
| Mode | DRIP |
| Genome | hg38 |
| RLSeq Report | report.html |
| RLRanges object | rlranges.rds |
| Logs | log.txt |