Computes multiple QC plots and arranges into a figure with subpanels:
Table showing total on/off-target scores (Son_tot and Soff_tot) for the best combination per number of guides (columns).
Total on- and off-target score per number of guides.
Total on- and off-target score per number of greedy search iterations. Colors indicate the number of guides (from yellow (at least 2) to black (defined by max_guides
in the addCombinations
function).
Total on- and off-target score for all computated combinations per number of guides.
Off-target coverage for the best guide combination per number of guides and off-target type (e.g. transposon family). Colors indicate predicted binding affinity to the off-target.
Distance to the nearest cis regulatory feature (defined by cis
in the createGuideSet
function) for the best combination number of guides.
On-target coverage for the best guide combination per number of guides and on-target transposon family. Colors indicate predicted binding affinity to the target.
Coverage for the best guide combination on the consensus model of transposon families. Colors indicate the number of guides (from yellow (1) to black (max_guides
))
plotCombinations(guideSet)
guideSet | guideSet containing combinations. |
---|
list of ggplot objects.
if (FALSE) { gs <- createGuideSet(Hsapiens, tes = te_annotation_df) gs <- addTargets(gs, targets = 'LTR13A') gs <- plotTargets(gs) }