I wrote a paper on sequential permutation test with Tim Bancroft and Dan Nettleton. The paper "T. Bancroft, C. Du and D. Nettleton (2012). Estimation of False Discovery Rate Using Sequential Permutation PÂValues." has been accepted by Biometrics. To illustrate ideas in the paper and make sequential permutation test easier to use, I wrote an R package dclong.spt which is availabe on GitHub. In order to make the package smaller, I moved these big datasets (used for illustrations in the paper) from the package to this website.
The data barley was produced by experiment "Genetic regulation of gene expression of barley in response to stem rust (Pgt isolate TTKS)" and can be access from PLEXdb (BB64). There is a file called "BB64_RMA_tmt_medians.txt" on the download page contains RMA expressions. The rma expression for the 75 chips involve fungas infection is the dataset barley in this package.
The Band T-cell Acute Lymphocyctic Leukemia (ALL) data set can be
access via the Bioconductor ALL package at
Biologists genetically mutated/changed the genotypes of barley. They could not change everywhere, so they changed 378 positions on the chromosome of barley. In the map, "A" and "B" are two types (sort of open and close). Because they know where the mutations are, they called them "markers" (so that if a barley with a certain genotype has a higher expression level, then you may infer and say, oh that may be caused by the 145th marker, etc.). The map has 7 chromosomes of barley, 1H, 2H, ..., 7H. These numbers are locations of markers on the chromosomes, like coordinates. There are some missing values in the original map, a naive method was used to interpolate the missing values and produced this dataset marker.