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Comparative proteogenomics: combining mass spectrometry and comparative genomics to analyze multiple genomes
Authors:Gupta Nitin  Benhamida Jamal  Bhargava Vipul  Goodman Daniel  Kain Elisabeth  Kerman Ian  Nguyen Ngan  Ollikainen Noah  Rodriguez Jesse  Wang Jian  Lipton Mary S  Romine Margaret  Bafna Vineet  Smith Richard D  Pevzner Pavel A
Affiliation:Bioinformatics Program, University of California San Diego, La Jolla, California 92093, USA. ngupta@ucsd.edu
Abstract:Recent proliferation of low-cost DNA sequencing techniques will soon lead to an explosive growth in the number of sequenced genomes and will turn manual annotations into a luxury. Mass spectrometry recently emerged as a valuable technique for proteogenomic annotations that improves on the state-of-the-art in predicting genes and other features. However, previous proteogenomic approaches were limited to a single genome and did not take advantage of analyzing mass spectrometry data from multiple genomes at once. We show that such a comparative proteogenomics approach (like comparative genomics) allows one to address the problems that remained beyond the reach of the traditional "single proteome" approach in mass spectrometry. In particular, we show how comparative proteogenomics addresses the notoriously difficult problem of "one-hit-wonders" in proteomics, improves on the existing gene prediction tools in genomics, and allows identification of rare post-translational modifications. We therefore argue that complementing DNA sequencing projects by comparative proteogenomics projects can be a viable approach to improve both genomic and proteomic annotations.
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