MoMo: discovery of statistically significant post-translational modification motifs.

ABSTRACT:

Motivation

Post-translational modifications (PTMs) of proteins are associated with many significant biological functions and can be identified in high throughput using tandem mass spectrometry. Many PTMs are associated with short sequence patterns called 'motifs' that help localize the modifying enzyme. Accordingly, many algorithms have been designed to identify these motifs from mass spectrometry data. Accurate statistical confidence estimates for discovered motifs are critically important for proper interpretation and in the design of downstream experimental validation.

Results

We describe a method for assigning statistical confidence estimates to PTM motifs, and we demonstrate that this method provides accurate P-values on both simulated and real data. Our methods are imp

SUBMITTER: Cheng A 

PROVIDER: S-EPMC6691336 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature