Figure 1: Overview of the multi-omic bioinformatics pipeline for clinical microbiology.
Figure 2: Quality control workflow for clinical metagenomic sequencing data.
Figure 3: Comparison of taxonomic classification methods for clinical metagenomics.
Figure 4: Genome quality metrics for metagenome-assembled genomes (MAGs).
Figure 5: Functional annotation workflow using KEGG, GO, and CAZy databases.
Figure 6: Short-chain fatty acid production pathway analysis.
Figure 7: Vitamin biosynthesis pathway completeness assessment.
Figure 8: Virulence factor identification and classification.
Figure 9: Antimicrobial resistance gene detection and profiling.
Figure 10: Multi-organ axis risk assessment framework.
Figure 11: Clinical decision support workflow for personalized recommendations.
Figure 12: Case study: Clinical application of integrated multi-omic analysis.
Figure 13: AI-integrated clinical interpretation pipeline.
Figure 14: Implementation roadmap for clinical multi-omic bioinformatics.
Figure 15: Future perspectives in clinical microbiome medicine.