Koichi Himori

GlyEnzEA constructs enzyme-specific glycan sets from glycomics data and identifies significant changes in specific enzyme groups.

This paper evaluates when site-specific glycoform compositions can resolve biosynthetic rates, showing that sufficient panel size, separable responses, and model fit are required for accurate inference.

GlycoMeSH links glycan structures to biomedical contexts through a database and enrichment workflow, improving association recovery and coverage over existing methods.

The paper defines sex-specific glycoproteomes in mouse tissues using multi-omics integration, revealing distinct glycoform patterns and enzyme relationships across 19 tissues.

GlycoTraitR is an R package that provides a unified framework for analyzing structural heterogeneity in N-linked glycoproteomics data through trait-based analysis.

GlycanGT is a foundation model for glycans that uses a graph transformer to improve classification and prediction of glycan structures and properties.

HuTAge integrates cross-tissue age-related data to provide human tissue- and cell-specific ageing molecular information.

This paper introduces a framework to interpret embedding spaces from dimension reduction by mapping biological functions to structural patterns in two datasets.