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Assay characterization: estimation of limit of blanc(LoB) and limit of detection(LOD)

Bioconductor version: Release (3.19)

The MSstatsLOBD package allows calculation and visualization of limit of blac (LOB) and limit of detection (LOD). We define the LOB as the highest apparent concentration of a peptide expected when replicates of a blank sample containing no peptides are measured. The LOD is defined as the measured concentration value for which the probability of falsely claiming the absence of a peptide in the sample is 0.05, given a probability 0.05 of falsely claiming its presence. These functionalities were previously a part of the MSstats package. The methodology is described in Galitzine (2018) .

Author: Devon Kohler [aut, cre], Mateusz Staniak [aut], Cyril Galitzine [aut], Meena Choi [aut], Olga Vitek [aut]

Maintainer: Devon Kohler <kohler.d at>

Citation (from within R, enter citation("MSstatsLOBD")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

LOB/LOD Estimation Workflow HTML R Script
Reference Manual PDF


biocViews DifferentialExpression, ImmunoOncology, MassSpectrometry, Normalization, OneChannel, Proteomics, QualityControl, Software, TwoChannel
Version 1.12.0
In Bioconductor since BioC 3.13 (R-4.1) (3 years)
License Artistic-2.0
Depends R (>= 4.0)
Imports minpack.lm, ggplot2, utils, stats, grDevices
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Source Package MSstatsLOBD_1.12.0.tar.gz
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