SPLASH: Statistical Signal Extraction for Unified Genomic Discovery

Explore a comprehensive lecture on SPLASH (Statistical signal extraction for unified genomic discovery) presented by Julia Salzman at the Computational Genomics Summer Institute (CGSI) 2024. Delve into the innovative statistical approach for efficient and unified genomic discovery from microbial sequencing data. Learn about the ultra-efficient, scalable, and unsupervised discovery methods applied to raw sequencing reads. Examine the OASIS algorithm, an interpretable alternative to Pearson's X2 for scientific discovery. Discover how SPLASH unifies biological discovery through a statistical, reference-free genomic algorithm. Investigate the application of these methods in revealing unrecognized regulated transcriptomic complexity in human single cells. Gain insights into the latest advancements in computational genomics and their potential impact on biological research and discovery.

Julia Salzman | SPLASH: Statistical signal extraction for unified genomic discovery | CGSI 2024