Faster and more accurate graphical model identification of tandem mass spectra using trellises.

ABSTRACT:

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Tandem mass spectrometry (MS/MS) is the dominant high throughput technology for identifying and quantifying proteins in complex biological samples. Analysis of the tens of thousands of fragmentation spectra produced by an MS/MS experiment begins by assigning to each observed spectrum the peptide that is hypothesized to be responsible for generating the spectrum. This assignment is typically done by searching each spectrum against a database of peptides. To our knowledge, all existing MS/MS search engines compute scores individually between a given observed spectrum and each possible candidate peptide from the database. In this work, we use a trellis, a data structure capable of jointly representing a large set of candidate peptides, to avoid redundantly recomputing commo

SUBMITTER: Wang S 

PROVIDER: S-EPMC4908353 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature