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 |