recipe bioconductor-msstatslobd

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

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/MSstatsLOBD.html

License:

Artistic-2.0

Recipe:

/bioconductor-msstatslobd/meta.yaml

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) <doi:10.1074/mcp.RA117.000322>.

package bioconductor-msstatslobd

Versions:

1.6.0-0,  1.2.0-2,  1.2.0-1,  1.2.0-0,  1.0.0-0

Depends:

• libblas >=3.9.0,<4.0a0

• libgcc-ng >=12

• liblapack >=3.9.0,<4.0a0

• libstdcxx-ng >=12

• r-base >=4.2,<4.3.0a0

• r-ggplot2

• r-minpack.lm

• r-rcpp

Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-msstatslobd

and update with:

conda update bioconductor-msstatslobd

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-msstatslobd:<tag>

(see bioconductor-msstatslobd/tags for valid values for <tag>)

Download stats

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