SPLASH: Ultraefficient Statistics-First Analysis of Raw Sequencing Data - Lecture

Explore a groundbreaking approach to genomic analysis in this 1 hour 44 minute conference talk from the Broad Institute's Models, Inference and Algorithms series. Dive into SPLASH, a revolutionary statistics-first method for analyzing raw sequencing data without relying on reference genomes. Learn how this paradigm shift unifies genomic analysis and discovery, overcoming limitations in current bioinformatic procedures. Understand the theory behind SPLASH and its ability to capture various forms of genome regulation efficiently. Discover new insights into RNA splicing, cancer transcriptomes, single-cell RNA-editing, mobile genetic elements, and gene discovery in non-model organisms. Gain valuable knowledge about the statistical and algorithmic challenges in reference-free analysis, and how SPLASH addresses these issues. Explore the potential of this innovative approach to expand the scope of genomic discovery and its implications for understanding human genetic diseases, microbial genomes, and non-model organisms.