-
Notifications
You must be signed in to change notification settings - Fork 1
Score Filtering
JBR supports BED-like and BigBed files filtering using an approach similar to Span Tuning section.
After you've annotated confident peaks and gaps you could filter BED-like track regions by score threshold which better matches annotations. By default fifth column is used for filtering but it is possible to change score column (e.g. containing p-value), see Region Score Column section.
To filter BED-like tracks:
-
Enable Peaks Annotation Mode and Annotate confident peaks (see see Region Score Column section)
-
Load BED-like / BigBed track (see Load Tracks section)
-
Select tracks and choose
Tune BED Tracks
context menu action. -
After progress has finished you will get the result:
You could change filtering threshold manually using
Filter by Score..
menu action after filtering has been completed. -
Export filtered tracks to BED files using
Export Tuned BED Tracks Peaks...
context menu action.
Filtered tracks About Tracks
results include additional information about mismatched annotations number for filtered track:
============ Track (1 / 1): 'SICER H3K36me3 BB' ============
Bed Format: (bed4, '\t')
Track source: https://artyomovlab.wustl.edu/publications/supp_materials/SBW-epigenetics-StL/data/GSE112622/chipseq/peaks/sicer/GSM3074494_BB_GVO_H3K36me3_mm9.scoreisland
Source size: 1,5 mb
Peaks Statistics:
Peaks number: 40 604
Peaks summary length : 410 987 146 bp
Genome (mm9 [all chromosomes]) coverage: 0.15%
Lengths:
Min: 599 bp
Mean: 10 121 bp
Max: 216 449 bp
5%: 3 299 bp
50%: 7 349 bp
95%: 26 249 bp
Track error score:
Total error: 31% (13/42)
No peaks error: 0% (0/12)
Peaks error: 20% (2/10)
Peak start error: 50% (5/10)
Peak end error: 60% (6/10)