MIread: To read PredictDivergence values
In MEET: MEET: Motif Elements Estimation Toolkit

Description Usage Arguments Author(s) See Also Examples

This function reads divergence values saved in memory. From the divergence values, MIread calculates the variation of the total divergence when the candidate sequence is added to the set.

1	MIread(training.set,val.set,iicc)

`training.set`	A set of nucleotide sequences
`val.set`	A candidate sequence
`iicc`	A set of inicial conditions for the MEET-package

Joan Maynou <joan.maynou@upc.edu>

MImemory

data(iicc)
data(BackgroundOrganism)
training.set<-iicc$Transcriptionfactor
val.set<-sample(c('A','T','C','G'),ncol(training.set), replace=TRUE,Prob)
res<-detector_2nOrdre_init(training.set, val.set, iicc)
iicc<-c(iicc,res)
iicc$parametersIdeal<-1
memory<-MImemory(iicc,training.set)
iicc<-c(iicc,memory)
MIread(training.set,val.set,iicc)