Fig. 2

fcScan is optimized to scan and cluster large input data. a Call used for benchmarking “getCluster” function in fcScan on a randomly generated datasets of up to 1,000,000 features and 3 heterotypic genomic features (a, b, and c) over 5 chromosomes using arguments “c = c(“a” = 1, “b” = 2, “c” = 1)” with “greedy = FALSE” for panel “b” and “greedy = TRUE” for panel “c” with either 1 or 5 computing cores (1 computing core per chromosome). For input “x”, window size “w” and “greedy” options, all different used values are shown. b,c Left panels corresponds to a fixed number of input size of 1,000,000 features as a function of window size. Right panels correspond to a fixed window size of 500 bp as a function of input size. Y-axis represents rounded mean runtimes in seconds over 10 runs