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Explore the comprehensive biological data analysis capabilities of Wolfram Language in this 31-minute conference talk that demonstrates how to leverage programmatic access to diverse life sciences datasets. Learn to work with genomic features, biological pathways, and phylogenetic classifications using Wolfram Language's built-in functions and datasets. Discover how to access and analyze genes, genetic variants, and taxonomic classifications while utilizing powerful visualization tools for biological data. Examine practical examples that showcase the platform's ability to handle complex biological analyses, from molecular biology and genetics to cellular structures and organism classification. Gain insights into how Wolfram Language provides organized, high-quality biological datasets alongside robust analytical functions that support research and discovery across multiple areas of life sciences. Master techniques for phylogenetic tree construction and pathway analysis while understanding how to integrate various biological data types for comprehensive scientific investigations.
