IsoBayes: a Bayesian approach for single-isoform proteomics inference.

ABSTRACT:

Motivation

Studying protein isoforms is an essential step in biomedical research; at present, the main approach for analyzing proteins is via bottom-up mass spectrometry proteomics, which return peptide identifications, that are indirectly used to infer the presence of protein isoforms. However, the detection and quantification processes are noisy; in particular, peptides may be erroneously detected, and most peptides, known as shared peptides, are associated to multiple protein isoforms. As a consequence, studying individual protein isoforms is challenging, and inferred protein results are often abstracted to the gene-level or to groups of protein isoforms.

Results

Here, we introduce IsoBayes, a novel statistical method to perform inference at the isoform level. Our method

SUBMITTER: Bollon J 

PROVIDER: S-EPMC12377908 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature