DIAmeter: matching peptides to data-independent acquisition mass spectrometry data.

ABSTRACT:

Motivation

Tandem mass spectrometry data acquired using data independent acquisition (DIA) is challenging to interpret because the data exhibits complex structure along both the mass-to-charge (m/z) and time axes. The most common approach to analyzing this type of data makes use of a library of previously observed DIA data patterns (a 'spectral library'), but this approach is expensive because the libraries do not typically generalize well across laboratories.

Results

Here, we propose DIAmeter, a search engine that detects peptides in DIA data using only a peptide sequence database. Although some existing library-free DIA analysis methods (i) support data generated using both wide and narrow isolation windows, (ii) detect peptides containing post-translational modifications,

SUBMITTER: Lu YY 

PROVIDER: S-EPMC8686675 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature