Author: Mathias Kuhring; Joerg Doellinger; Andreas Nitsche; Thilo Muth; Bernhard Y. Renard
Title: An iterative and automated computational pipeline for untargeted strain-level identification using MS/MS spectra from pathogenic samples Document date: 2019_10_24
ID: k7hm3aow_25_1
Snippet: ranular taxonomic relation cannot be ascertained from the NCBI taxonomy, we expect the Beaudette strains to feature a considerably closer relationship as compared to other Infectious bronchitis virus strains. Therefore, we consider the draw between Beaudette strains as sufficiently appropriate strain identification. For the unique-PSMs-based strategy, we observed a poor availability of unique PSMs at the strain level. While the exploitation of pu.....
Document: ranular taxonomic relation cannot be ascertained from the NCBI taxonomy, we expect the Beaudette strains to feature a considerably closer relationship as compared to other Infectious bronchitis virus strains. Therefore, we consider the draw between Beaudette strains as sufficiently appropriate strain identification. For the unique-PSMs-based strategy, we observed a poor availability of unique PSMs at the strain level. While the exploitation of purely unique features is a common theme for species-level identification, the low amount of unique PSMs in strains is insufficient for strain-level inference. However, the frequency of All rights reserved. No reuse allowed without permission.
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