View source: R/annotate_spectra.R
annotate_spectra | R Documentation |
This function annotates spectra
annotate_spectra(
input = get_params(step = "annotate_spectra")$files$spectral$raw,
library = get_params(step = "annotate_spectra")$files$libraries$spectral,
polarity = get_params(step = "annotate_spectra")$ms$polarity,
output = get_params(step = "annotate_spectra")$files$annotations$raw$spectral$spectral,
threshold = get_params(step =
"annotate_spectra")$annotations$thresholds$ms2$similarity$annotation,
ppm = get_params(step = "annotate_spectra")$ms$tolerances$mass$ppm$ms2,
dalton = get_params(step = "annotate_spectra")$ms$tolerances$mass$dalton$ms2,
qutoff = get_params(step = "annotate_spectra")$ms$thresholds$ms2$intensity,
approx = get_params(step = "annotate_spectra")$annotations$ms2approx
)
input |
Query file containing spectra. Currently an '.mgf' file |
library |
Library containing spectra to match against. Can be '.mgf' or '.sqlite' (Spectra formatted) |
polarity |
MS polarity. Must be 'pos' or 'neg'. |
output |
Output file. |
threshold |
Minimal similarity to report |
ppm |
Relative ppm tolerance to be used |
dalton |
Absolute Dalton tolerance to be used |
qutoff |
Intensity under which ms2 fragments will be removed. |
approx |
Perform matching without precursor match |
It takes two files as input. A query file that will be matched against a library file.
## Not run:
tima:::copy_backbone()
go_to_cache()
get_file(
url = get_default_paths()$urls$examples$spectra_mini,
export = get_params(step = "annotate_spectra")$files$spectral$raw
)
get_file(
url = get_default_paths()$urls$examples$spectral_lib_mini$with_rt,
export = get_default_paths()$data$source$libraries$spectra$exp$with_rt
)
annotate_spectra(
library = get_default_paths()$data$source$libraries$spectra$exp$with_rt
)
unlink("data", recursive = TRUE)
## End(Not run)
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