mobData
(Package: baySeq) :
Data from a set of small RNA sequencing experiments carried out
This data set is a matrix (‘mobData’) of counts acquired for three thousand small RNA loci from a set of Arabidopsis grafting experiments. Three different biological conditions exist within these data; one in which a Dicer 2,3,4 triple mutant shoot is grafted onto a Dicer 2,3,4 triple mutant root (SL236 and SL260), one in which a wild-type shoot is grafted onto a wild-type root (SL239 and SL240), and one in which a wild-type shoot is grafted onto a Dicer 2,3,4 triple mutant root (SL237 and SL238). Dicer 2,3,4 is required for the production of 22nt and 24nt small RNAs, as well as some 21nt ones. Consequently, if we detect differentially expressed sRNA loci in the root stock of the grafts, we can make inferences about the mobility of small RNAs.
pairData
(Package: baySeq) :
Simulated data for testing the baySeq package methods for paired data
This data set is a matrix (‘pairData’) of simulated counts from a set of high-throughput sequencing data from a paired experimental design. The first four columns of data are to be paired with the second four columns of data respectively. The first two paired samples form one replicate group, the second two paired samples form another replicate group. The first hundred rows of the data are truly differentially expressed between replicate groups, the second hundred are differentially expressed between pairs, the remainder have no differential expression.
simData
(Package: baySeq) :
Simulated data for testing the baySeq package methods
This data set is a matrix (‘simData’) of simulated counts from a simple pairwise expression analysis. It is simulated according to a negative binomial distribution with varying parameters for each row. The first hundred rows of the data are truly differentially expressed, the remainder have no differential expression.
zimData
(Package: baySeq) :
Simulated data for testing the baySeq package methods
This data set is a matrix (‘zimData’) of zero-inflated simulated counts from a simple pairwise expression analysis. It is simulated according to a negative binomial distribution with varying parameters for each row, and with zero-inflation applied to each row. The first hundred rows of the data are truly differentially expressed, the remainder have no differential expression.
CDPost
(Package: baySeq) :
`countData' object derived from data file `simData' with
This ‘countData’ object is derived from the data set ‘simData’ and contains the estimated likelihoods of differential expression. This data set is intended to be used to speed the processing of the examples.
CDPriors
(Package: baySeq) :
`countData' object derived from data file `simData' with
This ‘countData’ object is derived from the data set ‘simData’ and contains the estimated priors. This data set is intended to be used to speed the processing of the examples.
providing 
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