Description Usage Arguments Value Author(s) Examples
The makeChipPackage
function allows the user to make an
chip package from a data.frame that has two columns to define a set of
probes and the gene IDs that they map to as well as an org package
that contains data about those gene IDs (where the gene IDs can be
used as a foreign key).
makeChipPackage
is intended to be compatible with any org
packages that are generated by makeOrgPackage
as well as most
of the older legacy org packages that were based on more popular model
organisms. The one exception is the legacy org package for yeast
org.Sc.sgd.db
since its internal schema is just too different
from everything else.
Packages produced in this way can not support the older bimap objects unless they are pointing to an older legacy org package. All packages should support select().
1 2 3 4 5 6 7 8 9 10 11 | makeChipPackage(prefix,
probeFrame,
orgPkgName,
version,
maintainer,
author,
outputDir = ".",
tax_id,
genus,
species,
optionalAccessionsFrame=NULL)
|
prefix |
The package name |
probeFrame |
data.frame with two columns. The 1st column are the probes and the second column are genes (gene IDs). The gene IDs must be the main ID type for the org package that is the named in the 3rd argument. |
orgPkgName |
The name of the org package that you want to make the chip package to go with |
version |
What is the version number for this package? format: \'x.y.z\' |
maintainer |
Who is the package maintainer? (must include email to be valid) |
author |
Who is the creator of this package? |
outputDir |
A path where the package source should be assembled. |
tax_id |
The Taxonomy ID that represents your organism. (NCBI has a nice online browser for finding the one you need) |
genus |
Single string indicating the genus. |
species |
Single string indicating the species. |
optionalAccessionsFrame |
If you want to also include accessions for your probes (not used for mapping them) then you can include those here. |
The path to the package that just created. This is useful for calling install.packages as the next step.
M. Carlson
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | if(interactive()){
## 1st lets list some authentic entrez gene IDs
geneIds <- c("1","10","100","1000","10000","100008586")
probeNames <- paste("probe", 1:length(geneIds), sep="")
probeFrame <- data.frame(probes=probeNames, genes=geneIds)
makeChipPackage(prefix='testChip',
probeFrame=probeFrame,
orgPkgName='org.Hs.eg.db',
version='0.99.1',
maintainer='Some One <so@someplace.org>',
author='Some One <so@someplace.org>',
outputDir='.',
tax_id='59729',
genus='Homo',
species='sapiens')
## then you can call install.packages based on the return value
install.packages('./testChip.db', repos=NULL)
}
|
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