Description Format Details Note Source References See Also Examples
normASRcounts_file.txt: A tab-delimited text file containing the normalized
values of ASR counts for an experiment with more than two replicates.
normASRcounts.rda: the normASRcounts_file.txt loaded into a data.frame by the
readNormInput
function.
normASRcounts_file.txt: A tab-delimited file.
normASRcounts.rda: A data.frame.
Each line represents a feature (e.g. a gene or a transcript).
Each column represents the number of allele-specific sens reads from either
the paternal or maternal parent for a given biological replicate, so that
you expect to have two columns per biological replicate.
Values in the matrix are normalized (RLE method) ASR counts.
In case of double input, columns must be in the same order in both raw and
normalized ASR counts files.
The normASRcounts_file.txt file should be read and checked by the
readNormInput
function.
A minimum of two biological replicates per cross is mandatory, however, we
strongly recommend to use more than two replicates per cross. This enables a
better estimation of variability and to use the bootstrap method to perform the
statistical test (see the isolde_test
function).
Extract from Bouschet, T. et al. (2016): In vitro corticogenesis from embryonic stem cells recapitulates the in vivo epigenetic control of imprinted gene expression. Submitted Subset of 6062 genes (after filtering).
Bouschet, T. et al. (2016): In vitro corticogenesis from embryonic stem cells recapitulates the in vivo epigenetic control of imprinted gene expression. Submitted
readNormInput
example of which uses the
normASRcounts
file.
1 2 3 4 5 6 7 8 | # normASRcounts_file.txt
normfile <- system.file("extdata", "normASRcounts_file.txt",
package = "ISoLDE")
normASRcounts <- readNormInput(norm_file = normfile, del = "tab",
rownames = TRUE, colnames = TRUE)
# normASRcounts.rda
data(normASRcounts)
|
Reading normalized input file...
Done
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