Description Usage Arguments Examples
Assembles data in format compliant with BIC requirements.
make_rii_peptide_gl()
: returns 'RII_peptide.txt' table formatted for BIC (global)
make_results_ratio_gl()
: returns 'results_ratio.txt' table (global)
make_rii_peptide_ph()
: returns 'RII_peptide.txt' table (phospho)
make_results_ratio_ph()
: returns 'results_ratio.txt' table (phospho)
assess_redundant_proteins()
: appends proteins matched to multiple peptides
assess_noninferable_proteins()
: appends proteins with identical peptide sets
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 | make_rii_peptide_gl(
msnid,
masic_data,
fractions,
samples,
references,
org_name = "Rattus norvegicus"
)
make_results_ratio_gl(
msnid,
masic_data,
fractions,
samples,
references,
org_name = "Rattus norvegicus"
)
make_rii_peptide_ph(
msnid,
masic_data,
fractions,
samples,
references,
org_name = "Rattus norvegicus",
sep = "_"
)
make_results_ratio_ph(
msnid,
masic_data,
fractions,
samples,
references,
org_name = "Rattus norvegicus",
sep = "_"
)
assess_redundant_protein_matches(msnid, collapse = "|")
assess_noninferable_proteins(msnid, collapse = "|")
|
msnid |
(MSnID-object) final filtered version of MSnID object |
masic_data |
(data.frame) final filtered version of MASIC table |
fractions |
(data.frame) Study design table linking Dataset with PlexID |
samples |
(data.frame) Study design table linking sample names with TMT channels and PlexID |
references |
(data.frame) Study design table describing reference value calculation |
org_name |
(character) Organism name. Default is 'Rattus norvegicus' |
sep |
(character) Single character used to concatenate protein, SiteID, and peptide |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | # Prepare MS/MS IDs
path_to_MSGF_results <- system.file("extdata/global/msgf_output", package = "PlexedPiperTestData")
msnid <- read_msgf_data(path_to_MSGF_results)
msnid <- MSnID::correct_peak_selection(msnid)
show(msnid)
msnid <- filter_msgf_data_peptide_level(msnid, 0.01)
show(msnid)
path_to_FASTA <- system.file("extdata/Rattus_norvegicus_NCBI_RefSeq_2018-04-10.fasta.gz", package = "PlexedPiperTestData")
msnid <- compute_num_peptides_per_1000aa(msnid, path_to_FASTA)
msnid <- filter_msgf_data_protein_level(msnid, 0.01)
show(msnid)
# Prepare table with reporter ion intensities
path_to_MASIC_results <- system.file("extdata/global/masic_output", package = "PlexedPiperTestData")
masic_data <- read_masic_data(path_to_MASIC_results, extra_metrics=TRUE)
masic_data <- filter_masic_data(masic_data, 0.5, 0)
library(readr)
fractions <- read_tsv(system.file("extdata/study_design/fractions.txt", package = "PlexedPiperTestData"))
samples <- read_tsv(system.file("extdata/study_design/samples.txt", package = "PlexedPiperTestData"))
references <- read_tsv(system.file("extdata/study_design/references.txt", package = "PlexedPiperTestData"))
results_ratio <- make_results_ratio_gl(msnid, masic_data, fractions, samples, references, org_name = "Rattus norvegicus")
rii_peptide <- make_rii_peptide_gl(msnid, masic_data, fractions, samples, references, org_name = "Rattus norvegicus")
|
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