Hierarchical Clustering of Shotgun Proteomics Data
نویسندگان
چکیده
منابع مشابه
Hierarchical clustering of shotgun proteomics data.
A new result report for Mascot search results is described. A greedy set cover algorithm is used to create a minimal set of proteins, which is then grouped into families on the basis of shared peptide matches. Protein families with multiple members are represented by dendrograms, generated by hierarchical clustering using the score of the nonshared peptide matches as a distance metric. The pept...
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Label-free quantification of shotgun LC-MS/MS data is the prevailing approach in quantitative proteomics but remains computationally nontrivial. The central data analysis step is the detection of peptide-specific signal patterns, called features. Peptide quantification is facilitated by associating signal intensities in features with peptide sequences derived from MS2 spectra; however, missing ...
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ژورنال
عنوان ژورنال: Molecular & Cellular Proteomics
سال: 2011
ISSN: 1535-9476
DOI: 10.1074/mcp.m110.003822