Description Usage Arguments Value
The data is broken down into k-mers and each k-mer is pseudoaligned to k-mers in the index. Because kallisto doesn't rely on full alignment, it is much quicker than other methods, without losing accuracy.
1 2 3 | kallistoQuant(dataFile, preFilt = FALSE, refIndex,
refIndexFromPackage = FALSE, bootstrap = 0, fragmentLength = 200,
fragmentSD = 10, biasCor = FALSE)
|
refIndex |
A character string of the name of the index file (usually, .idx) against which the fastq files are pseudoaligned. This file can be generated from a fasta-formatted transcriptome file using |
refIndexFromPackage |
A logical, false by default. If the user would like to use an index provided by the package (these can be viewed using |
bootstrap |
An integer specifying the number of times to bootstrap. The output will provide a measure of variance. |
fragmentLength |
An integer. Estimated fragment length. Only required for single-end data (for paired-end data, Kallisto is able to calculate the fragment length). Default is 200 bp. |
fragmentSD |
A numeric. The standard deviation of the fragment length. Only required for single-end data (for paired-end data, Kallisto is able to calculate the standard deviation). Default is 10 bp. |
file1 |
A character string of the name of the RNA-Seq data file (fastq.gz) to be processed. |
file2 |
A character string of the RNA-Seq data file (fastq.gz) to be processed - in the case there is paired-end data. |
pairedEnd |
is a logical. If |
A data frame of the estimated abundances of each transcript specified in the input file(s). The data frame is also saved to a folder, which is given the title of the files, exlcuding the extensions. The folder contains these abundances (in text format and compressed format), as well as information about the run.
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