Protein and gene model inference based on statistical modeling in k-partite graphs.

@article{Gerster2010ProteinAG,
  title={Protein and gene model inference based on statistical modeling in k-partite graphs.},
  author={Sarah Gerster and Ermir Qeli and Christian H. Ahrens and Peter B{\"u}hlmann},
  journal={Proceedings of the National Academy of Sciences of the United States of America},
  year={2010},
  volume={107 27},
  pages={12101-6}
}
One of the major goals of proteomics is the comprehensive and accurate description of a proteome. Shotgun proteomics, the method of choice for the analysis of complex protein mixtures, requires that experimentally observed peptides are mapped back to the proteins they were derived from. This process is also known as protein inference. We present Markovian Inference of Proteins and Gene Models (MIPGEM), a statistical model based on clearly stated assumptions to address the problem of protein and… CONTINUE READING

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