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BPDA2d—a 2D global optimization-based Bayesian peptide detection algorithm for liquid chromatograph–mass spectrometry
Motivation: Peptide detection is a crucial step in mass spectrometry (MS) based proteomics. Most existing algorithms are based upon greedy isotope template matching and thus may be prone to error propagation and ineffective to detect overlapping peptides. In addition, existing algorithms usually wor...
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| Hoofdauteurs: | , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Oxford University Press
2012
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3278754/ https://ncbi.nlm.nih.gov/pubmed/22155863 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btr675 |
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