importomics: Unified statistal Modeling of Omics Data

.read_rnaseq_bams

R Documentation

Read rnaseq counts/bams

Description

Read rnaseq counts/bams

Usage

.read_rnaseq_bams(
  dir,
  paired,
  genome,
  nthreads = detectCores(),
  sfile = NULL,
  by.y = NULL,
  ensdb = NULL,
  verbose = TRUE
)

.read_rnaseq_counts(
  file,
  fid_col = 1,
  sfile = NULL,
  by.y = NULL,
  ensdb = NULL,
  verbose = TRUE
)

read_rnaseq_bams(
  dir,
  paired,
  genome,
  nthreads = detectCores(),
  sfile = NULL,
  by.y = NULL,
  block = NULL,
  formula = ~subgroup,
  min_count = 10,
  pseudo = 0.5,
  ensdb = NULL,
  tpm = FALSE,
  cpm = TRUE,
  log2 = TRUE,
  plot = FALSE,
  label = "feature_id",
  pca = plot,
  pls = plot,
  fit = if (plot) "limma" else NULL,
  voom = cpm,
  coefs = NULL,
  contrasts = NULL,
  palette = NULL,
  verbose = TRUE
)

read_rnaseq_counts(
  file,
  fid_col = 1,
  sfile = NULL,
  by.y = NULL,
  formula = ~subgroup,
  block = NULL,
  min_count = 10,
  pseudo = 0.5,
  tpm = FALSE,
  ensdb = NULL,
  cpm = !tpm,
  log2 = TRUE,
  plot = FALSE,
  label = "feature_id",
  pca = plot,
  pls = plot,
  fit = if (plot) "limma" else NULL,
  voom = cpm,
  coefs = NULL,
  contrasts = NULL,
  palette = NULL,
  verbose = TRUE
)

Arguments

`dir`	read_rnaseq_bams: bam/sam dir
`paired`	read_rnaseq_bams: TRUE/FALSE : paired end reads ?
`genome`	read_rnaseq_bams: 'mm10', 'hg38', etc. or GTF file
`nthreads`	read_rnaseq_bams: nthreads used by Rsubread::featureCounts()
`sfile`	sample file
`by.y`	sample file mergeby column
`ensdb`	EnsDb with genesizes : e.g. AnnotationHub::AnnotationHub[['AH64923']]
`verbose`	TRUE or FALSE: message?
`file`	count file
`fid_col`	featureid column (number or string)
`block`	model blockvar: string or NULL
`formula`	model formula
`min_count`	min feature count required in some samples
`pseudo`	pseudocount added to prevent -Inf log2 values
`tpm`	TRUE or FALSE : add tpm to assays ( counts / libsize / genelength ) ?
`cpm`	TRUE or FALSE: add cpm to assays ( counts / effectivelibsize ) ?
`log2`	TRUE or FALSE: log2 transform ?
`plot`	TRUE or FALSE: plot?
`label`	fvar
`pca`	TRUE or FALSE: perform and plot pca?
`pls`	TRUE or FALSE: run pls ?
`fit`	model engine: 'limma', 'lm', 'lme(r)', 'wilcoxon' or NULL
`voom`	model weights to be computed? TRUE/FALSE
`coefs`	model coefficients of interest: string vector or NULL
`contrasts`	model coefficient contrasts of interest: string vector or NULL
`palette`	color palette : named string vector

Value

SummarizedExperiment

Author(s)

Aditya Bhagwat, Shahina Hayat

Examples

# read_rnaseq_bams
    if (requireNamespace('Rsubread')){
       dir <- download_data('billing16.bam.zip')
       object <- read_rnaseq_bams(dir, paired = TRUE, genome = 'hg38')  
       object <- read_rnaseq_bams(dir, paired = TRUE, genome = 'hg38', plot = TRUE)  
    }
# read_rnaseq_counts
    file <- system.file('extdata/billing19.rnacounts.txt', package = 'autonomics')
    object <- read_rnaseq_counts(file, fit = 'limma', coefs = 'E15')
    object <- read_rnaseq_counts(file, fit = 'limma', coefs = 'E15', voom = FALSE)
    object <- read_rnaseq_counts(file, fit = 'limma', coefs = 'E15', voom = FALSE, cpm = FALSE)
    object <- read_rnaseq_counts(file, fit = 'limma', coefs = 'E15', voom = FALSE, cpm = FALSE, log2 = FALSE)
    object <- read_rnaseq_counts(file, plot = TRUE)
    
# read_rnaseq_counts(tpm = TRUE)
    ## Not run: 
    ah <- AnnotationHub::AnnotationHub()
    ensdb <- ah[['AH64923']]
    object <- read_rnaseq_counts(file, fit = 'limma', coefs = 'E02', tpm = TRUE, ensdb = ensdb)
    
## End(Not run)

bhagwataditya/importomics documentation built on May 1, 2024, 2:01 a.m.