R/platjam-import-metabolomics-niehs.R
process_metab_compounds_file.Rd
Process NIEHS compounds output files (internal)
data.frame
after reading compound_pos.txt
or compound_neg.txt
numeric
argument passed to format()
to define
the number of decimal positions to retain in the output label
from column "m/z"
.
numeric
argument passed to format()
to define
the number of decimal positions to retain in the output label
from column "RT [min]"
.
character
vector with prefix values expected
in column names, for example where "Area"
is expected to form a prefix
to column names: "Area: sample_a", "Area: sample_b"
;
and "Gap Fill Status"
would form column names
"Gap Fill Status: sample_a", "Gap Fill Status: sample_b"
.
character
string to indicate the appropriate
column name containing "m/z"
(mass/charge) and "RT [min]"
(retention time in minutes) as used to format a unique identifier
for each row.
character
string indicating whether data represents
positive "pos"
or negative "neg"
ionization. Mainly used
when se_list
is also provided.
optional list
of SummarizedExperiment
objects,
named with "pos"
or "neg"
in the name. When provided, the
se
output of this function is merged into the se_list
with
matching type
, adding assay_names
into the corresponding
se_list
object.
additional arguments are ignored.
SummarizedExperiment
object with assays
defined by matching
column names in x
. When no column names meet the assay_names_extra
criteria, this function returns NULL
.
This function produces SummarizedExperiment
object with assays
defined by the assay_names_extra
patterns below. Each assay name
is the lowercase value, with spaces replaced with underscore "_"
.
For example "Gap Fill Status"
will become assay name "gap_fill_status"
.
Other jam import functions:
coverage_matrix2nmat()
,
deepTools_matrix2nmat()
,
frequency_matrix2nmat()
,
import_lipotype_csv()
,
import_metabolomics_niehs()
,
import_nanostring_csv()
,
import_nanostring_rcc()
,
import_nanostring_rlf()
,
import_proteomics_PD()
,
import_proteomics_mascot()
,
import_salmon_quant()