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bioRxiv · 10.1101/079772

PoGo: Jumping from Peptides to Genomic Loci

Christoph N. Schlaffner·Georg Pirklbauer·Andreas Bender·Jyoti S. Choudhary
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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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Christoph N. Schlaffner, Georg Pirklbauer, Andreas Bender, Jyoti S. Choudhary. 2016-10-07. PoGo: Jumping from Peptides to Genomic Loci. https://doi.org/10.1101/079772

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