Multi-species Identification of Polymorphic Peptide Variants via Propagation in Spectral Networks.

ABSTRACT: Peptide and protein identification remains challenging in organisms with poorly annotated or rapidly evolving genomes, as are commonly encountered in environmental or biofuels research. Such limitations render tandem mass spectrometry (MS/MS) database search algorithms ineffective as they lack corresponding sequences required for peptide-spectrum matching. We address this challenge with the spectral networks approach to (1) match spectra of orthologous peptides across multiple related species and then (2) propagate peptide annotations from identified to unidentified spectra. We here present algorithms to assess the statistical significance of spectral alignments (Align-GF), reduce the impurity in spectral networks, and accurately estimate the error rate in propagated identifications. Analy

SUBMITTER: Na S 

PROVIDER: S-EPMC5098046 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature