RLSeq Results 🔥


Description of analysis


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


User data upload

Status: Done

Run RLSeq

Status: Done

Upload results

Status: Done


Please acknowledge RLBase in your publications by citing the following reference:
Miller et al., RLBase, (2021), GitHub repository, https://github.com/Bishop-Laboratory/RLBase