Pipasic: similarity and expression correction for strain-level identification and quantification in metaproteomics

@inproceedings{Penzlin2014PipasicSA,
  title={Pipasic: similarity and expression correction for strain-level identification and quantification in metaproteomics},
  author={Anke Penzlin and Martin S. Lindner and Joerg Doellinger and Piotr Wojtek Dabrowski and Andreas Nitsche and Bernhard Y. Renard},
  booktitle={Bioinformatics},
  year={2014}
}
MOTIVATION Metaproteomic analysis allows studying the interplay of organisms or functional groups and has become increasingly popular also for diagnostic purposes. However, difficulties arise owing to the high sequence similarity between related organisms. Further, the state of conservation of proteins between species can be correlated with their expression level, which can lead to significant bias in results and interpretation. These challenges are similar but not identical to the challenges… CONTINUE READING
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