Description Usage Arguments Value Author(s) See Also Examples
Each element of the multipeptide is a collection of features associated with a peptide.
1 2 3 4 5 6 7 | getMultipeptide(
precursors,
features,
applyFun = lapply,
numMerge = 0L,
startIdx = 0L
)
|
precursors |
(data-frames) Contains precursors and associated transition IDs. |
features |
(list of data-frames) Contains features and their properties identified in each run. |
applyFun |
(function) value must be either lapply or BiocParallel::bplapply. |
numMerge |
(integer) number of merged runs. Should be 0 for star alignment. |
startIdx |
(integer) suffix for merged runs' name. |
(list) of dataframes having following columns:
transition_group_id |
(integer) a unique id for each precursor. |
run |
(string) run identifier. |
RT |
(numeric) retention time as in FEATURE.EXP_RT of osw files. |
Intensity |
(numeric) peak intensity as in FEATURE_MS2.AREA_INTENSITY of osw files. |
leftWidth |
(numeric) as in FEATURE.LEFT_WIDTH of osw files. |
rightWidth |
(numeric) as in FEATURE.RIGHT_WIDTH of osw files. |
peak_group_rank |
(integer) rank of each feature associated with transition_group_id. |
m_score |
(numeric) q-value of each feature associated with transition_group_id. |
alignment_rank |
(integer) rank of each feature post-alignment. |
Shubham Gupta, shubh.gupta@mail.utoronto.ca
ORCID: 0000-0003-3500-8152
License: (c) Author (2020) + GPL-3 Date: 2020-04-08
1 2 3 4 5 6 | dataPath <- system.file("extdata", package = "DIAlignR")
fileInfo <- getRunNames(dataPath, oswMerged = TRUE)
precursors <- getPrecursors(fileInfo, oswMerged = TRUE, context = "experiment-wide")
features <- getFeatures(fileInfo, maxFdrQuery = 0.05)
multipeptide <- getMultipeptide(precursors, features)
multipeptide[["9861"]]
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.