# R script for Peak Model
#  -- generated by MACS
p <- c(0.0405617261507,0.0483808540833,0.0547338955286,0.0610869369739,0.0672445002209,0.0664625874276,0.0648010227419,0.0666580656259,0.0668535438243,0.0683196303116,0.0690038040057,0.0684173694108,0.0685151085099,0.0702744122948,0.0708608468897,0.0705676295923,0.0707631077906,0.0704698904931,0.0704698904931,0.0693947604024,0.0699811949973,0.070372151394,0.0721314551788,0.070372151394,0.0698834558982,0.0710563250881,0.071642759683,0.070372151394,0.0686128476091,0.0681241521133,0.0685151085099,0.0687105867083,0.0662671092293,0.066071631031,0.0655829355352,0.0640191099487,0.0656806746344,0.0670490220226,0.0672445002209,0.0669512829234,0.0666580656259,0.0645078054445,0.065485196436,0.0663648483285,0.0669512829234,0.06734223932,0.064214588147,0.062357545263,0.0618688497672,0.0610869369739,0.0593276331891,0.0592298940899,0.0588389376933,0.0580570249,0.0569818948093,0.0558090256194,0.0576660685034,0.0582525030983,0.0580570249,0.0593276331891,0.0610869369739,0.0620643279655,0.0621620670647,0.0608914587756,0.0628462407588,0.0639213708495,0.0620643279655,0.064214588147,0.0650942400394,0.0646055445436,0.0672445002209,0.0677331957167,0.0665603265268,0.0686128476091,0.0685151085099,0.0690038040057,0.0691992822041,0.0674399784192,0.0659738919318,0.0662671092293,0.0627485016596,0.0627485016596,0.0641168490478,0.0639213708495,0.0655829355352,0.0647032836428,0.0674399784192,0.0681241521133,0.0702744122948,0.0712518032864,0.0713495423855,0.069785716799,0.0709585859889,0.0714472814847,0.0698834558982,0.0699811949973,0.0681241521133,0.0685151085099,0.0691992822041,0.0677331957167,0.0687105867083,0.0692970213032,0.0687105867083,0.0680264130142,0.0675377175184,0.0685151085099,0.0699811949973,0.0691992822041,0.0681241521133,0.0684173694108,0.0682218912125,0.0688083258074,0.0680264130142,0.0677331957167,0.067928673915,0.0678309348158,0.066071631031,0.0684173694108,0.069785716799,0.0708608468897,0.0695902386007,0.0707631077906,0.0720337160796,0.0715450205839,0.0728156288729,0.073499802567,0.0742817153603,0.0715450205839,0.069785716799,0.0694924995015,0.0695902386007,0.0690038040057,0.0682218912125,0.0698834558982,0.0688083258074,0.0682218912125,0.0680264130142,0.0689060649066,0.0681241521133,0.067928673915,0.0693947604024,0.0695902386007,0.0696879776998,0.0691992822041,0.0691015431049,0.0688083258074,0.0684173694108,0.0700789340965,0.0715450205839,0.073499802567,0.0730111070712,0.0723269333771,0.0732065852695,0.0725224115754,0.0726201506746,0.0739884980628,0.0746726717569,0.0733043243687,0.0718382378813,0.0695902386007,0.0698834558982,0.0708608468897,0.0702744122948,0.0702744122948,0.0693947604024,0.0677331957167,0.067928673915,0.0668535438243,0.0686128476091,0.0696879776998,0.0681241521133,0.0669512829234,0.0665603265268,0.0676354566175,0.0667558047251,0.0685151085099,0.0687105867083,0.0707631077906,0.0692970213032,0.0687105867083,0.0698834558982,0.0718382378813,0.0728156288729,0.0718382378813,0.0715450205839,0.0714472814847,0.0707631077906,0.0681241521133,0.0705676295923,0.0713495423855,0.0709585859889,0.0689060649066,0.0680264130142,0.0683196303116,0.0701766731956,0.0689060649066,0.067928673915,0.0706653686914,0.0685151085099,0.0684173694108,0.0683196303116,0.0698834558982,0.072229194278,0.0724246724763,0.0705676295923,0.0711540641872,0.0712518032864,0.0708608468897,0.0731088461704,0.0732065852695,0.074086237162,0.0737930198645,0.0708608468897,0.0717404987822,0.0737930198645,0.0729133679721,0.0761387582443,0.0780935402275,0.0754545845502,0.0741839762611,0.074086237162,0.0748681499552,0.0757478018477,0.0757478018477,0.0774093665334,0.0788754530207,0.075943280046,0.0737930198645,0.075943280046,0.0767251928392,0.0767251928392,0.0763342364426,0.0763342364426,0.0767251928392,0.0744771935586,0.0741839762611,0.0728156288729,0.0718382378813,0.0708608468897,0.0698834558982,0.0694924995015,0.06734223932,0.0674399784192,0.0671467611217,0.0686128476091,0.0684173694108,0.0718382378813,0.0718382378813,0.0709585859889,0.0717404987822,0.0714472814847,0.0724246724763,0.0731088461704,0.0732065852695,0.0715450205839,0.0713495423855,0.0705676295923,0.0706653686914,0.0710563250881,0.0706653686914,0.0706653686914,0.0708608468897,0.0688083258074,0.0691992822041,0.0719359769805,0.072229194278,0.0728156288729,0.0729133679721,0.0732065852695,0.0739884980628,0.0750636281536,0.0752591063519,0.0762364973435,0.0758455409468,0.0739884980628,0.0757478018477,0.0747704108561,0.0771161492359,0.0770184101367,0.07780032293,0.0773116274342,0.079070931219,0.077213888335,0.075943280046,0.0754545845502,0.0728156288729,0.0748681499552,0.0720337160796,0.0731088461704,0.0725224115754,0.0735975416662,0.0719359769805,0.073499802567,0.0734020634679,0.0731088461704,0.0737930198645,0.0735975416662,0.0731088461704,0.0714472814847,0.0738907589637,0.0745749326578,0.07780032293,0.0830782342845,0.0891380584323,0.0957843171751,0.0999870984389,0.104287618802,0.113670572321,0.118850744576,0.123933177733,0.128135958996,0.129797523682,0.130481697376,0.130383958277,0.131850044765,0.13233874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m <- 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ycorr <- 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altd  <- c(298)
x <- seq.int((length(p)-1)/2*-1,(length(p)-1)/2)
pdf('BW17_hg38_k562_emx1_mre11.2x36mers.hg38-male.unique.MACS-2.1.0_model.pdf',height=6,width=6)
plot(x,p,type='l',col=c('red'),main='Peak Model',xlab='Distance to the middle',ylab='Percentage')
lines(x,m,col=c('blue'))
legend('topleft',c('forward tags','reverse tags'),lty=c(1,1,1),col=c('red','blue'))
plot(xcorr,ycorr,type='l',col=c('black'),main='Cross-Correlation',xlab='Lag between + and - tags',ylab='Correlation')
abline(v=altd,lty=2,col=c('red'))
legend('topleft','alternative lag(s)',lty=2,col='red')
legend('right','alt lag(s) : 298',bty='n')
dev.off()