glycowork

glycowork provides functions to process, annotate, analyze, visualize, and generate machine-learning representations of glycan sequences (monosaccharide oligo- and polysaccharides) to support glycan data science and machine learning.

Key Features:

• Automated Annotation: Functions for automatic annotation of glycan motifs to identify and categorize structural motifs within glycan sequences.
• Statistical Analysis: Distribution analysis of glycan motifs using heatmaps and statistical enrichment analyses to detect significant patterns.
• Visualization Tools: Methods to visualize glycan data and motif distributions for interpretative analysis.
• Database Interaction: Routines for interacting with stored databases to access, query, and manipulate glycan-related information.
• Machine Learning Integration: Inclusion of trained machine learning models and learned glycan representations for downstream analytical tasks.

Scientific Applications:

• Motif Identification and Distribution Analysis: Identification and comparative analysis of glycan motifs across datasets using heatmaps and enrichment testing.
• Glycomics Data Visualization: Visual representation of glycan datasets and motif patterns to support data interpretation.
• Machine Learning on Glycans: Application of trained machine learning models and learned glycan representations for glycan-focused data science analyses.
• Database Curation and Retrieval: Accessing, querying, and manipulating glycan-related records in stored databases.

Methodology:

Computational methods include automatic glycan motif annotation, heatmap generation, statistical enrichment analyses, visualization routines, database interaction routines, and use of trained machine learning models with learned glycan representations.