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Duplication.R
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Duplication.R
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#
# Copyright (C) 2013 EMBL - European Bioinformatics Institute
#
# This program is free software: you can redistribute it
# and/or modify it under the terms of the GNU General
# Public License as published by the Free Software
# Foundation, either version 3 of the License, or (at your
# option) any later version.
#
# This program is distributed in the hope that it will be
# useful, but WITHOUT ANY WARRANTY; without even the
# implied warranty of MERCHANTABILITY or FITNESS FOR A
# PARTICULAR PURPOSE. See the GNU General Public License
# for more details.
#
# Neither the institution name nor the name simcopy
# can be used to endorse or promote products derived from
# this software without prior written permission. For
# written permission, please contact <[email protected]>.
# Products derived from this software may not be called
# simcopy nor may simcopy appear in their
# names without prior written permission of the developers.
# You should have received a copy of the GNU General Public
# License along with this program. If not, see
# <http://www.gnu.org/licenses/>.
# Construct a duplicator process sampling lengths from a geometric+1 distribution:
.construct.duplicator<-function(rate, lenMean, lenMax){
# Set up sizes and probabilities:
dist <- .setup.ldist(lenMean, lenMax)
# Construct an insertion process:
d<-DiscreteInsertor(
rate =rate,
sizes =dist$sizes,
probs =dist$probs
)
# Redefine the generateBy function in order to sample the insert randomly from the
# target sequence:
d$generateBy<-function(process=NA,length=NA,target.seq=NA,event.pos=NA,insert.pos=NA){
# get the target sequence length
target.length<-target.seq$length;
# construct a vector with the positions to copy:
dup.pos <- sample(1:(target.length-length+1), 1, replace=FALSE)
positions<-(dup.pos):(dup.pos + length -1)
# discard illegal positions:
positions<-positions[ positions > 0 & positions <= target.length];
# copy subsequence
insert<-copySubSequence(target.seq,positions,process);
# return insert
return(insert);
}
return(d)
}
# Construct an inverted duplicator process sampling lengths from a geometric+1 distribution:
.construct.inv.duplicator<-function(rate, lenMean, lenMax){
# Set up sizes and probabilities:
dist <- .setup.ldist(lenMean, lenMax)
# Construct a discrete insertor process:
d<-DiscreteInsertor(
rate =rate,
sizes =dist$sizes,
probs =dist$probs
)
# Redefine generateBy in order to sample the insert from the target sequence and invert it:
d$generateBy<-function(process=NA,length=NA,target.seq=NA,event.pos=NA,insert.pos=NA){
# get the target sequence length
target.length<-target.seq$length;
# construct a vector with the positions to copy:
dup.pos <- sample(1:(target.length-length+1), 1, replace=FALSE)
positions<-(dup.pos):(dup.pos + length -1)
# discard illegal positions:
positions<-positions[ positions > 0 & positions <= target.length];
# copy subsequence
insert<-copySubSequence(target.seq,positions,process);
# invert the inserted sequence
states <- -rev(as.numeric(getStates(insert)))
setStates(insert,states)
# return insert
return(insert);
}
return(d)
}