Protein identification as an information retrieval problem

  • Authors:
  • Yiming Yang;Subramaniam Ganapathy;Abhay Harpale

  • Affiliations:
  • Carnegie Mellon University, Pittsburgh, PA, USA;Carnegie Mellon University, Pittsburgh, PA, USA;Carnegie Mellon University, Pittsburgh, PA, USA

  • Venue:
  • Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
  • Year:
  • 2009

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Abstract

We present the first interdisciplinary work on transforming a popular problem in proteomics, i.e. protein identification from tandem mass spectra, to an Information Retrieval (IR) problem. We present an empirical comparison of popular IR approaches, such as those available from Indri and Lemur toolkits on benchmark datasets, to representative popular baselines in the proteomics literature. Our experiments demonstrate statistically significant evidence that popular IR approaches outperform representative baseline approaches in proteomics.