Finds the optimal combination of non-redundant guideRNAs.
addCombinations(guideSet, max_guides = 5, greedy = TRUE, iterations = 10, alpha = 100, force = FALSE)
max_guides | Numeric. Maximum number of distinct guides to consider when calculating combinations. Do not use a higher number than experimentally feasible. |
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greedy | Logical. If |
iterations | Integer > 0. Number of greedy search iterations (10 by default). |
alpha | Numeric. Off-target score coefficient. Large |
force | Logical. If |
guideSet. | guideSet object containing guides. |
method | String. Method of how to pick the best guideRNA per cluster. |
coeff | Integer. If |
Returns a guideSet object contaning combinations.
if (FALSE) { gs <- createGuideSet(Hsapiens, tes = te_annotation_df) gs <- addTargets(gs, targets = 'LTR13A') gs <- addGuides(gs, guide_length = 16) gs <- addCombinations(gs, max_guides = 8) gs <- plotCombinations(gs) }