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Hierarchical clustering of shotgun proteomics data.


ABSTRACT: 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 peptide matches to the proteins in a family can be compared side by side to assess the experimental evidence for each protein. If the evidence for a particular family member is considered inadequate, the dendrogram can be cut to reduce the number of distinct family members.

SUBMITTER: Koskinen VR 

PROVIDER: S-EPMC3108832 | biostudies-literature | 2011 Jun

REPOSITORIES: biostudies-literature

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Hierarchical clustering of shotgun proteomics data.

Koskinen Ville R VR   Emery Patrick A PA   Creasy David M DM   Cottrell John S JS  

Molecular & cellular proteomics : MCP 20110329 6


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 peptide matches to the proteins in a family can be compared side by side to assess the experimental evidenc  ...[more]

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