Ontology highlight
ABSTRACT: Motivation
Bottom-up mass spectrometry-based proteomics studies changes in protein abundance and structure across conditions. Since the currency of these experiments are peptides, i.e. subsets of protein sequences that carry the quantitative information, conclusions at a different level must be computationally inferred. The inference is particularly challenging in situations where the peptides are shared by multiple proteins or post-translational modifications. While many approaches infer the underlying abundances from unique peptides, there is a need to distinguish the quantitative patterns when peptides are shared.Results
We propose a statistical approach for estimating protein abundances, as well as site occupancies of post-translational modifications, based on quantitat
SUBMITTER: Staniak M
PROVIDER: S-EPMC11879648 | biostudies-literature | 2025 Mar
REPOSITORIES: biostudies-literature