readDiaNNPeptides {wrProteo} | R Documentation |
Read Tabulated Files Exported by DiaNN At Peptide Level
Description
This function allows importing peptide identification and quantification results from DiaNN.
Data should be exported as tabulated text (tsv) to allow import by thus function.
Quantification data and other relevant information will be extracted similar like the other import-functions from this package.
The final output is a list containing as (main) elements: $annot
, $raw
and $quant
, or a data.frame with the quantication data and a part of the annotation if argument separateAnnot=FALSE
.
Usage
readDiaNNPeptides(
fileName,
path = NULL,
normalizeMeth = "median",
sampleNames = NULL,
read0asNA = TRUE,
quantCol = "\\.raw$",
annotCol = NULL,
refLi = NULL,
separateAnnot = TRUE,
FDRCol = NULL,
groupPref = list(lowNumberOfGroups = TRUE),
plotGraph = TRUE,
titGraph = "DiaNN",
wex = 1.6,
specPref = c(conta = "CON_|LYSC_CHICK", mainSpecies = "OS=Homo sapiens"),
gr = NULL,
sdrf = NULL,
suplAnnotFile = FALSE,
silent = FALSE,
debug = FALSE,
callFrom = NULL
)
Arguments
fileName |
(character) name of file to be read |
path |
(character) path of file to be read |
normalizeMeth |
(character) normalization method, defaults to |
sampleNames |
(character) custom column-names for quantification data; this argument has priority over |
read0asNA |
(logical) decide if initial quntifications at 0 should be transformed to NA (thus avoid -Inf in log2 results) |
quantCol |
(character or integer) exact col-names, or if length=1 content of |
annotCol |
(character) column names to be read/extracted for the annotation section (default c("Accession","Description","Gene","Contaminant","Sum.PEP.Score","Coverage....","X..Peptides","X..PSMs","X..Unique.Peptides", "X..AAs","MW..kDa.") ) |
refLi |
(character or integer) custom specify which line of data is main species, if character (eg 'mainSpe'), the column 'SpecType' in $annot will be searched for exact match of the (single) term given |
separateAnnot |
(logical) if |
FDRCol |
(list) - not used |
groupPref |
(list) additional parameters for interpreting meta-data to identify structure of groups (replicates), will be passed to |
plotGraph |
(logical or integer) optional plot of type vioplot of initial and normalized data (using |
titGraph |
(character) custom title to plot of distribution of quantitation values |
wex |
(integer) relative expansion factor of the violin-plot (will be passed to |
specPref |
(character or list) define characteristic text for recognizing (main) groups of species (1st for comtaminants - will be marked as 'conta', 2nd for main species- marked as 'mainSpe',
and optional following ones for supplemental tags/species - maked as 'species2','species3',...);
if list and list-element has multiple values they will be used for exact matching of accessions (ie 2nd of argument |
gr |
(character or factor) custom defined pattern of replicate association, will override final grouping of replicates from |
sdrf |
(character, list or data.frame) optional extraction and adding of experimenal meta-data: if character, this may be the ID at ProteomeExchange,
the second element may give futher indicatations for automatic organization of groups of replicates.
Besides, the output from |
suplAnnotFile |
(logical or character) optional reading of supplemental files; however, if |
silent |
(logical) suppress messages |
debug |
(logical) additional messages for debugging |
callFrom |
(character) allow easier tracking of messages produced |
Details
This function has been developed using DiaNN version 1.8.x.
Using the argument suplAnnotFile
it is possible to specify a specific file (or search for default file) to read for extracting file-names as sample-names and other experiment related information.
Value
This function returns a list with $raw
(initial/raw abundance values), $quant
with final normalized quantitations, $annot
, $counts
an array with number of peptides, $quantNotes
and $notes
; or if separateAnnot=FALSE
the function returns a data.frame with annotation and quantitation only
See Also
read.table
, normalizeThis
) , readMaxQuantFile
, readProtDiscovFile
, readProlineFile
Examples
diaNNFi1 <- "tinyDiaNN1.tsv.gz"
## This file contains much less identifications than one may usually obtain
path1 <- system.file("extdata", package="wrProteo")
## let's define the main species and allow tagging some contaminants
specPref1 <- c(conta="conta|CON_|LYSC_CHICK", mainSpecies="HUMAN")
dataNN <- readDiaNNFile(path1, file=diaNNFi1, specPref=specPref1, tit="Tiny DIA-NN Data")
summary(dataNN$quant)