This function reads long-format input data, filters it, and writes the results to the iq format.
long_format_to_iq_format(input_data,
output_data,
sample_id = "Run",
primary_id = "Protein.Group",
secondary_id = c("Precursor.Id"),
intensity_col = "Intensities",
annotation_col = NULL,
filter_string_equal = NULL,
filter_string_not_equal = NULL,
filter_double_less = NULL,
filter_double_greater = NULL,
intensity_col_sep = ";",
intensity_col_id = NULL,
na_string = "0",
normalization = "median",
log2_intensity_cutoff = 0,
pdf_out = "qc-plots-iq.pdf",
pdf_width = 12,
pdf_height = 8,
show_boxplot = FALSE)
The output is written to a new directory named output_data
.
See filename
in fast_read
.
Output data.
See sample_id
in fast_read
.
See primary_id
in fast_read
.
See secondary_id
in fast_read
.
See intensity_col
in fast_read
.
See annotation_col
in fast_read
.
See filter_string_equal
in fast_read
.
See filter_string_not_equal
in fast_read
.
See filter_double_less
in fast_read
.
See filter_double_greater
in fast_read
.
See intensity_col_sep
in fast_read
.
See intensity_col_id
in fast_read
.
See intensity_col_id
in fast_read
.
Normalization type. Possible values are median
and none
. The default value median
is for median normalization in fast_preprocess
.
See log2_intensity_cutoff
in fast_preprocess
.
See pdf_out
in fast_preprocess
.
See pdf_width
in fast_preprocess
.
See pdf_height
in fast_preprocess
.
See show_boxplot
in fast_preprocess
.
Thang V. Pham
Pham TV, Henneman AA, Jimenez CR. iq: an R package to estimate relative protein abundances from ion quantification in DIA-MS-based proteomics. Bioinformatics 2020 Apr 15;36(8):2611-2613.
fast_read
, fast_preprocess