- 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:
- 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:
- Required By:
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>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-massspecwavelet/README.html)