# R script for Peak Model
#  -- generated by MACS
p <- c(0.0361707354743,0.0424125880561,0.0481742981317,0.055216388224,0.0608980745485,0.0624985495695,0.0610581220506,0.0617783358101,0.0631387395779,0.0645791670968,0.0658595471136,0.0650593096031,0.0660195946157,0.0652993808562,0.0647392145989,0.0619383833122,0.0640190008394,0.0636188820842,0.0624185258185,0.0607380270464,0.0604179320422,0.0610581220506,0.060017813287,0.0613782170548,0.0620984308143,0.0636188820842,0.0624985495695,0.061618288308,0.0603379082912,0.0624985495695,0.0620984308143,0.0624985495695,0.063218763329,0.0607380270464,0.0608980745485,0.0596977182828,0.0580172195108,0.0592975995275,0.0612981933038,0.061698312059,0.0620184070632,0.0640190008394,0.0641790483415,0.066499737122,0.0669798796283,0.0692205446577,0.0701808296702,0.069780710915,0.0683402833961,0.0675400458856,0.068100212143,0.0667398083751,0.066499737122,0.0664197133709,0.0672199508814,0.0671399271304,0.0680201883919,0.069780710915,0.0702608534213,0.069780710915,0.0683402833961,0.0684203071472,0.0685003308982,0.0687404021514,0.0670599033793,0.0678601408898,0.0679401646409,0.0655394521094,0.0646591908478,0.0643390958436,0.0640190008394,0.0640990245905,0.0637789295863,0.0629786920758,0.06329878708,0.0624185258185,0.0639389770884,0.0637789295863,0.0660996183667,0.064899262101,0.066579760873,0.0666597846241,0.0680201883919,0.0664197133709,0.0676200696367,0.066579760873,0.0660195946157,0.0661796421178,0.066579760873,0.0674600221346,0.0689004496535,0.0693005684087,0.069700687164,0.0706609721765,0.0702608534213,0.0708210196786,0.0700207821681,0.0692205446577,0.0668998558772,0.0679401646409,0.0659395708646,0.0654594283583,0.0650593096031,0.0644191195947,0.0633788108311,0.0641790483415,0.0633788108311,0.0656194758604,0.0663396896199,0.0656994996115,0.0651393333541,0.064979285852,0.0648192383499,0.0657795233625,0.0662596658688,0.0672199508814,0.0686603784003,0.0689004496535,0.0693805921598,0.0696206634129,0.0708210196786,0.0708210196786,0.0700207821681,0.0696206634129,0.0693805921598,0.0690604971556,0.0677000933877,0.0668998558772,0.0664197133709,0.0683402833961,0.0677801171388,0.0671399271304,0.0666597846241,0.0668998558772,0.0672999746325,0.0659395708646,0.0668198321262,0.0664197133709,0.0668198321262,0.0644191195947,0.0643390958436,0.0668998558772,0.0669798796283,0.0664197133709,0.0666597846241,0.0679401646409,0.0690604971556,0.0695406396619,0.069780710915,0.068100212143,0.0690604971556,0.0673799983835,0.0685803546493,0.0687404021514,0.0694606159108,0.0690604971556,0.0692205446577,0.0695406396619,0.0717813046912,0.0731417084591,0.0722614471975,0.072981660957,0.073061684708,0.0732217322101,0.073061684708,0.0715412334381,0.0704209009234,0.0707409959276,0.0688204259024,0.0693805921598,0.0704209009234,0.0685003308982,0.0688204259024,0.069700687164,0.0690604971556,0.0709010434297,0.073061684708,0.0725015184507,0.0708210196786,0.0705809484255,0.069780710915,0.0708210196786,0.0712211384339,0.0709810671807,0.0729016372059,0.071381185936,0.069780710915,0.069700687164,0.0695406396619,0.0710610909318,0.0725815422017,0.0727415897038,0.0722614471975,0.0727415897038,0.0710610909318,0.0718613284423,0.0716212571891,0.0712211384339,0.0731417084591,0.0721814234465,0.0709810671807,0.0705809484255,0.0693005684087,0.0696206634129,0.0707409959276,0.0708210196786,0.0710610909318,0.0707409959276,0.0693005684087,0.0690604971556,0.0709810671807,0.0707409959276,0.071381185936,0.071381185936,0.0705809484255,0.0701008059192,0.0694606159108,0.0704209009234,0.071381185936,0.0704209009234,0.068100212143,0.0670599033793,0.0666597846241,0.0660195946157,0.0651393333541,0.0652193571052,0.0666597846241,0.0677801171388,0.0691405209066,0.0717012809402,0.0728216134549,0.0742620409738,0.0754623972395,0.0772229197626,0.0768228010073,0.0781031810241,0.0765827297542,0.0741820172227,0.0733817797122,0.0712211384339,0.0712211384339,0.0716212571891,0.0710610909318,0.0693005684087,0.0695406396619,0.0693805921598,0.0703408771723,0.0709010434297,0.0705009246744,0.0702608534213,0.0717813046912,0.0717012809402,0.0723414709486,0.0722614471975,0.072981660957,0.0724214946996,0.0713011621849,0.0706609721765,0.0701808296702,0.0713011621849,0.0696206634129,0.0700207821681,0.069780710915,0.0710610909318,0.0701008059192,0.0705009246744,0.0711411146828,0.071461209687,0.073061684708,0.0731417084591,0.0734618034633,0.0756224447416,0.0760225634968,0.0766627535052,0.0785032997794,0.0777030622689,0.0787433710325,0.0800237510493,0.0793835610409,0.0789834422857,0.079543608543,0.0765027060031,0.0749822547332,0.0749822547332,0.0753023497374,0.0757024684926,0.0752223259864,0.0747421834801,0.0757024684926,0.0769028247584,0.0759425397458,0.0765827297542,0.0776230385178,0.0771428960115,0.0765827297542,0.0769028247584,0.0785032997794,0.0800237510493,0.0803438460535,0.0793035372899,0.0817042498213,0.0853053186186,0.0911470524452,0.094107931234,0.0992294513011,0.106111493891,0.109632538938,0.113233607735,0.118355127802,0.126677597911,0.128278072932,0.129478429198,0.130518737961,0.132359284236,0.130038595455,0.130998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m <- 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ycorr <- 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altd  <- c(299)
x <- seq.int((length(p)-1)/2*-1,(length(p)-1)/2)
pdf('BW26_k562_emx1.2x36mers.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) : 299',bty='n')
dev.off()