Dataset Information
RIPPER: a framework for MS1 only metabolomics and proteomics label-free relative quantification.
Ontology highlight
ABSTRACT: Unlabelled
RIPPER is a framework for mass-spectrometry-based label-free relative quantification for proteomics and metabolomics studies. RIPPER combines a series of previously described algorithms for pre-processing, analyte quantification, retention time alignment, and analyte grouping across runs. It is also the first software framework to implement proximity-based intensity normalization. RIPPER produces lists of analyte signals with their unnormalized and normalized intensities that can serve as input to statistical and directed mass spectrometry (MS) methods for detecting quantitative differences between biological samples using MS.Availability and implementation
http://www.z.umn.edu/ripperContact
vanr0014@umn.eduSupplementary information
Supplementary data are available at Bioinformatics online.
SUBMITTER: Van Riper SK
PROVIDER: S-EPMC4920113 | biostudies-literature | 2016 Jul
REPOSITORIES: biostudies-literature
Publications
RIPPER: a framework for MS1 only metabolomics and proteomics label-free relative quantification.
Bioinformatics (Oxford, England) 20160218 13
<h4>Unlabelled</h4>RIPPER is a framework for mass-spectrometry-based label-free relative quantification for proteomics and metabolomics studies. RIPPER combines a series of previously described algorithms for pre-processing, analyte quantification, retention time alignment, and analyte grouping across runs. It is also the first software framework to implement proximity-based intensity normalization. RIPPER produces lists of analyte signals with their unnormalized and normalized intensities that ...[more]