Description Usage Arguments Value References
Perform the differential REU (DrSeq) test in a single command. This function is a wrapper that calls the necessary functions in order for DrSeq.
| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | drseq(
  event,
  sampleData,
  design = ~sample + exon + condition:exon,
  remove.overlap.exon = FALSE,
  anno.prefix = "drseq.annotation",
  anno.format = "gff2",
  minMQS = 10,
  isPairedEnd = TRUE,
  ...,
  fullModel = design,
  reducedModel = ~sample + exon,
  fitExpToVar = "condition",
  drseq.fdr = 0.05,
  read.length = 100,
  min.adjMean = 0.05,
  filter.overlap.event = TRUE,
  cores = max(1, detectCores() - 2),
  verbose = FALSE
)
 | 
| event | a  | 
| sampleData | 
 | 
| design | A formula which specifies the design of the experiment. It must specify an interaction term between a variable from the sampleData columns with the 'exon' variable. By default, the design will be '~ sample + exon + condition:exon'. This formula indicates the contrast between 'condition' and exon', i.e. differences in exon usage due to changes in the 'condition' variable. See the vignette for more examples of other designs. | 
| remove.overlap.exon | 
 | 
| anno.prefix | 
 | 
| anno.format | 
 | 
| minMQS | as defined in Rsubread::featureCounts. Note that the default is customized for SURF (see details for more information). | 
| isPairedEnd | as defined in Rsubread::featureCounts. Note that the default is customized for SURF (see details for more information). | 
| ... | parameters for Rsubread::featureCounts. | 
| fullModel | The full model formula | 
| reducedModel | Null model formula. | 
| fitExpToVar | A variable name contained in the sample data. The expression values will be fitted to this variable using the the formula " ~ sample + fitExpToVar * exon". | 
| drseq.fdr | 
 | 
| read.length | 
 | 
| min.adjMean | 
 | 
| filter.overlap.event | 
 | 
| cores | 
 | 
| verbose | 
 | 
a surf object containing the DrSeq result in the drseqResults
slot.
Chen, F., & Keles, S. (2020). SURF: integrative analysis of a compendium of RNA-seq and CLIP-seq datasets highlights complex governing of alternative transcriptional regulation by RNA-binding proteins. Genome Biology, 21(1), 1-23.
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