Ontology highlight
ABSTRACT:
SUBMITTER: Buric F
PROVIDER: S-EPMC7733873 | biostudies-literature | 2020 Dec
REPOSITORIES: biostudies-literature
Buric Filip F Zrimec Jan J Zelezniak Aleksej A
Patterns (New York, N.Y.) 20201105 9
High-throughput data-independent acquisition (DIA) is the method of choice for quantitative proteomics, combining the best practices of targeted and shotgun approaches. The resultant DIA spectra are, however, highly convolved and with no direct precursor-fragment correspondence, complicating biological sample analysis. Here, we present CANDIA (canonical decomposition of data-independent-acquired spectra), a GPU-powered unsupervised multiway factor analysis framework that deconvolves multispectra ...[more]