PepSAVI-MS Data Analysis
Consolidate mass spectrometry observations
Extract candidate compounds
Extract embedded mass spectrometry data
Filter compounds from mass spectrometry data
Constructor for class msDat
Basic information for class filterMS
Print method for class msDat
Basic information for class rankEN
Rank compounds via the Elastic Net path
Overview of the binning process
Overview of the filtering process
Overview of the elastic net selection process
An implementation of the data processing and data analysis portion of a pipeline named the PepSAVI-MS which is currently under development by the Hicks laboratory at the University of North Carolina. The statistical analysis package presented herein provides a collection of software tools used to facilitate the prioritization of putative bioactive peptides from a complex biological matrix. Tools are provided to deconvolute mass spectrometry features into a single representation for each peptide charge state, filter compounds to include only those possibly contributing to the observed bioactivity, and prioritize these remaining compounds for those most likely contributing to each bioactivity data set.
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