inst/testScripts/fileFormats/acs/test20080804,acs.R

library("aroma.core");
library("aroma.affymetrix");

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# Local functions
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# Function to draw 'n' random sequences of length 'size'.
rseqs <- function(n=1, size=25) {
  seqs <- sample(c("A", "C", "G", "T"), size=n*size, replace=TRUE);
  dim(seqs) <- c(n, size);
  seqs <- apply(seqs, MARGIN=1, paste, collapse="");
  seqs;
} # rseqs()


log <- Arguments$getVerbose(-20, timestamp=TRUE);

chipType <- "Mapping50K_Hind240";
cdf <- AffymetrixCdfFile$byChipType(chipType);
print(cdf);

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# Allocate ACS file
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tags <- c("*", "forTestingOnly");
acs <- AromaCellSequenceFile$allocateFromCdf(cdf, tags=tags, overwrite=TRUE);
print(acs);

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# Write and read some random sequences
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n <- 10;
cells <- sample(nbrOfCells(acs), size=n, replace=FALSE);
seqs <- rseqs(n=n);

# A newly allocated ACS file contains all missing sequences
seqs0 <- readSequences(acs, cells=cells);
print(seqs0);
stopifnot(all(is.na(seqs0)));

# Write the test sequences to file
updateSequences(acs, cells=cells, seqs=seqs);

# Assert the correctness of the writing and reading
seqs1 <- readSequences(acs, cells=cells);
print(seqs1);
stopifnot(identical(seqs1, seqs));


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# Update the ACS file footer with info about the source file
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# Fake that we got the sequences from a source file
pathname <- tempfile();
cat(file=pathname, seqs);
srcFile <- GenericDataFile(pathname);

# Add info about the source file to the ACS footer
footer <- readFooter(acs);
footer$srcFile = list(
  fullname = getFullName(srcFile),
  filesize = getFileSize(srcFile),
  checksum = getChecksum(srcFile)
);
writeFooter(acs, footer);
print(acs);

# Validate written footer
footer2 <- readFooter(acs);
footer$srcFile$filesize <- as.character(footer$srcFile$filesize);
stopifnot(identical(footer2, footer));

file.remove(getPathname(acs));
HenrikBengtsson/aroma.core documentation built on Feb. 20, 2024, 9:17 p.m.