run_kallisto | R Documentation |
Run kallisto and all preliminary steps if needed like : - creation of transcriptome with intergenic (if needed) - installation of kallisto (if needed) - index creation (if needed) - run kallisto quantification
run_kallisto(
myKallistoMetadata,
myBgeeMetadata,
myUserMetadata,
transcriptome_path = ""
)
myKallistoMetadata |
A Reference Class KallistoMetadata object. |
myBgeeMetadata |
A Reference Class BgeeMetadata object. |
myUserMetadata |
A Reference Class UserMetadata object. This object has to be edited before running kallisto @seealso UserMetadata.R |
transcriptome_path |
path to the transcriptome fasta file. If no path is provided the default path created using BgeeCall will be used. IMPORTANT : in BgeeCall the transcriptome used to generate present/absent calls contains both intergenic sequences downloaded from Bgee and the reference transcriptome. |
create kallisto output files and save them on the hard drive
Julien Wollbrett.
## Not run:
# first a transcriptome is needed. Here it is downloaded from AnnotationHub
library(AnnotationHub)
ah <- AnnotationHub()
ah_resources <- query(ah, c('Ensembl', 'Caenorhabditis elegans', '84'))
# kallisto can not deal with S4 objects. Path to transcriptome file is
# required
transcriptome_object <- rtracklayer::import.2bit(ah_resources[['AH50453']])
transcriptome_path <- file.path(getwd(),'transcriptome.fa')
Biostrings::writeXStringSet(transcriptome_object, transcriptome_path)
# initialize objects needed to create destination folder
bgee <- new('BgeeMetadata')
user <- new('UserMetadata', species_id = '6239')
user <- setRNASeqLibPath(user, system.file(
'extdata', 'SRX099901_subset',
package = 'BgeeCall'))
kallisto <- new('KallistoMetadata')
# generate transcriptome index
run_kallisto(kallisto, bgee, user, transcriptome_path)
## End(Not run)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.