PoGo: Jumping from Peptides to Genomic Loci
Christoph N. SchlaffneriD, Georg J. PirklbaueriD, Andreas BenderiD, Jyoti Sharma ChoudharyiD
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. We developed PoGo for mapping peptides identified through mass spectrometry to a reference genome to overcome these limitations. PoGo exhibited superior performance over other tools on benchmarking with large-scale human tissue and cancer phosphoproteome datasets. Additionally, extended functionality enables representation of single nucleotide variants, post-translational modifications and quantitative features.
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