Fast, Quantitative and Variant Enabled Mapping of Peptides to Genomes.

ABSTRACT: Current tools for visualization and integration of proteomics with other omics datasets are inadequate for large-scale studies and capture only basic sequence identity information. Furthermore, the frequent reformatting of annotations for reference genomes required by these tools is known to be highly error prone. We developed PoGo for mapping peptides identified through mass spectrometry to overcome these limitations. PoGo reduced runtime and memory usage by 85% and 20%, respectively, and exhibited overall superior performance over other tools on benchmarking with large-scale human tissue and cancer phosphoproteome datasets comprising ∼3 million peptides. In addition, extended functionality enables representation of single-nucleotide variants, post-translational modifications, and quantit

SUBMITTER: Schlaffner CN 

PROVIDER: S-EPMC5571441 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature