recipe bioconductor-massspecwavelet

Peak Detection for Mass Spectrometry data using wavelet-based algorithms

Homepage:

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

License:

LGPL (>= 2)

Recipe:

/bioconductor-massspecwavelet/meta.yaml

Links:

biotools: massspecwavelet

Peak Detection in Mass Spectrometry data is one of the important preprocessing steps. The performance of peak detection affects subsequent processes, including protein identification, profile alignment and biomarker identification. Using Continuous Wavelet Transform (CWT), this package provides a reliable algorithm for peak detection that does not require any type of smoothing or previous baseline correction method, providing more consistent results for different spectra. See <doi:10.1093/bioinformatics/btl355} for further details.

package bioconductor-massspecwavelet

Versions:

1.64.0-0,  1.60.1-0,  1.60.0-1,  1.60.0-0,  1.58.0-0,  1.56.0-1,  1.56.0-0,  1.54.0-0,  1.52.0-0, 

1.64.0-0,  1.60.1-0,  1.60.0-1,  1.60.0-0,  1.58.0-0,  1.56.0-1,  1.56.0-0,  1.54.0-0,  1.52.0-0,  1.50.0-1,  1.50.0-0,  1.48.1-0,  1.48.0-0,  1.46.0-0,  1.44.0-0,  1.42.0-0,  1.40.0-0

Depends:

• libblas >=3.9.0,<4.0a0

• libgcc-ng >=12

• liblapack >=3.9.0,<4.0a0

• r-base >=4.2,<4.3.0a0

Required By:

• bioconductor-xcms

• bioconductor-cosmiq

• r-speaq

Installation

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

conda install bioconductor-massspecwavelet

and update with:

conda update bioconductor-massspecwavelet

or use the docker container:

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

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

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