| data.type | file.format | glob | files | file.list |
|---|---|---|---|---|
| normalized.signal | RData | */*/signal.RData | 129 | RData.normalized.signal.txt |
| count.signal | RData | */*/counts.RData | 129 | RData.count.signal.txt |
| PDPA.model | RData | */*/PDPA.model.RData | 129 | RData.PDPA.model.txt |
| Segmentor.model | RData | */*/Segmentor.model.RData | 129 | RData.Segmentor.model.txt |
| dp.model | RData | */*/dp.model.RData | 129 | RData.dp.model.txt |
| annotated.regions | RData | */*/regions.RData | 129 | RData.annotated.regions.txt |
| model.error | RData | */*/error/*.RData | 2580 | RData.model.error.txt |
| model.peaks | RData | */*/peaks/*.RData | 2580 | RData.model.peaks.txt |
| count.signal | bedGraph | */*/counts/*.bedGraph.gz | 2752 | bedGraph.count.signal.txt |
| annotated.regions | bed | */*/regions/*.bed.gz | 2752 | bed.annotated.regions.txt |
| test.folds | csv | 4foldcv-test-folds.csv | 1 | csv.test.folds.txt |
| predicted.peaks | csv | 4foldcv-predicted-peaks.csv | 1 | csv.predicted.peaks.txt |
Links to the source bed files (one line per DNA sequence read aligned to hg19). There is one bed file per sample and experiment type, and each take several gigabytes of disk space. They may be useful if you want to run a peak caller program which can not be run on coverage profiles in genome subsets.