Probability model for assessing proteins assembled from peptide sequences inferred from tandem mass spectrometry data.

@article{Feng2007ProbabilityMF,
  title={Probability model for assessing proteins assembled from peptide sequences inferred from tandem mass spectrometry data.},
  author={Jian Feng and Daniel Q. Naiman and Bret Cooper},
  journal={Analytical chemistry},
  year={2007},
  volume={79 10},
  pages={3901-11}
}
In shotgun proteomics, tandem mass spectrometry is used to identify peptides derived from proteins. After the peptides are detected, proteins are reassembled via a reference database of protein or gene information. Redundancy and homology between protein records in databases make it challenging to assign peptides to proteins that may or may not be in an experimental sample. Here, a probability model is introduced for determining the likelihood that peptides are correctly assigned to proteins… CONTINUE READING

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