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Dataset Information

RIPPER: a framework for MS1 only metabolomics and proteomics label-free relative quantification.


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/ripper

Contact

vanr0014@umn.edu

Supplementary information

Supplementary

SUBMITTER: Van Riper SK 

PROVIDER: S-EPMC4920113 | biostudies-literature | 2016 Jul

REPOSITORIES: biostudies-literature

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