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discoal-选择信号数据模拟器

discoal-选择信号数据模拟器

作者: DumplingLucky | 来源:发表于2021-05-24 08:31 被阅读0次

    discoal是一个合并模拟程序,能够模拟具有重组,选择性扫描和人口变化(包括人口分裂和混合事件)的模型。

    下载

    wget https://github.com/kr-colab/discoal/archive/refs/heads/master.zip
    

    安装

    解压后进入软件目录

    make discoal
    

    参数详情:

    $ ./discoal
    usage: discoal sampleSize numReplicates nSites -ws tau
    parameters:
         -t theta
         -r rho (=zero if not specified)
         -g conversionRate tractLengthMean (gene conversion)
         -gr conversionToCrossoverRatio tractLengthMean (gene conversion where initiation rate = rho*conversionToCrossoverRatio)
         -p npops sampleSize1 sampleSize2 etc.
         -en time popnID size (changes size of popID)
         -ed time popnID1 popnID2 (joins popnID1 into popnID2)
         -ea time daughterPopnID founderPopnID1 founderPopnID2 admixProp (admixture-- back in time daughterPopnID into two founders)
         -ws tau (sweep happend tau generations ago- stochastic sweep)
         -wd tau (sweep happend tau generations ago- deterministic sweep)
         -wn tau (sweep happend tau generations ago- neutral sweep)
         -ls tau leftRho (stochastic sweep some genetic distance to the left of the simulated window--specified by leftRho=4Nr)
             similarly, ld and ln simulate deterministic and neutral sweeps to the left of the window, respectively
         -f first frequency at which selection acts on allele (F0; sweep models only)
         -uA rate at which adaptive mutation recurs during the sweep phase (sweep models only)
         -N sweepEffectivePopnSize (sweep models only)
         -a alpha (=2Ns)
         -x sweepSite (0-1)
         -c partialSweepFinalFrequency (partial sweeps)
         -i dt (sweep time increment scalar; default 400 -> 1/400N)
         -M migRate (sets all rates to migRate)
         -m popnID1 popnID2 migRate (sets migRate from popnID1 to popnID2)
         -A sampleSize popnID time (ancient sample from popnID at specified time)
         -Pt low high (prior on theta)
         -Pr low high (prior on rho)
         -Pre mean upperBound (prior on rho -- exponentially distributed but truncated at an upper bound)
         -Pa low high (prior on alpha)
         -Pu low high (prior on tau; sweep models only; still must use "-ws tau" and "tau" will be ignored)
         -PuA low high (prior on uA; sweep models only)
         -Px low high (prior on sweepSite; sweep models only)
         -Pf low high (prior on F0; sweep models only)
         -Pc low high (prior on partialSweepFinalFreq; sweep models only)
         -Pe1 lowTime highTime lowSize highSize (priors on first demographic move time and size)
         -Pe2 lowTime highTime lowSize highSize (priors on second demographic move time and size)
         -R rhhRate (recurrent hitch hiking mode at the locus; rhh is rate per 2N individuals / generation)
         -L rhhRate (recurrent hitch hiking mode to the side of locus; leftRho is ~Unif(0,4Ns); rhh is rate per 2N individuals / generation)
         -h (hide selected SNP in partial sweep mode)
         -T (tree output mode)
         -d seed1 seed2 (set random number generator seeds)
    

    参考:
    https://github.com/kr-colab/discoal
    https://github.com/kr-colab/discoal/blob/master/discoaldoc.pdf

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