
Explore SPLASH, a revolutionary statistics-first approach for genomic analysis without reference genomes. Discover its efficiency in detecting diverse genetic mechanisms and its potential to transform genomic research and discovery.

Explore cutting-edge research in models, inference, and algorithms through lightning talks by five postdoctoral researchers at the Broad Institute of MIT and Harvard.

Explore single-cell ATAC-seq data analysis, covering key concepts, workflow, quality control, and downstream analysis techniques for epigenomic profiling at cellular resolution.

Explore ethical considerations in genomics research, covering key principles and challenges in this rapidly evolving field. Gain insights into responsible practices and decision-making.

Explore machine learning's role in optimization and discovery with Andreas Krause. Gain insights into biomedical applications and foundational ML advances in this joint colloquium series.

Explore rare variant interpretation in genetics, covering basic principles, analysis methods, and implications for understanding human diseases and populations.

Explore phenome-wide association studies (PheWAS) and UK Biobank (UKBB) applications in medical and population genetics, focusing on complex trait analysis and large-scale genomic data.

Explore unsupervised viral antibody escape prediction for future-proof vaccines. Learn about EVEscape model integrating fitness predictions, structure-based features, and biochemical distances to quantify viral escape potential at scale.

Explore data thinning techniques to prevent double dipping in statistical analysis, with applications in single-cell RNA sequencing and unsupervised learning problems.

Explore generative diffusion models for protein design, covering theoretical foundations and applications in sequence and structure generation for optimized engineering and biological insights.

Explore AI-driven drug design techniques for optimizing pharmacokinetics and ADME with Novartis Principal Scientist Raquel Rodríguez Pérez at the Broad Institute symposium.

Explore programmable generative protein design with Gevorg Grigoryan, CTO of Generate Biomedicines, in this symposium talk on machine learning in drug discovery.

Explore causal representation learning techniques for integrating multi-modal data in this workshop by Caroline Uhler from MIT and Broad Institute.

Explore interpretable clustering techniques for single-cell transcriptomes with Jesper Madsen, enhancing understanding of genomic mechanisms and data integration.

Explore scaling variant-to-function approaches for metabolic disease research with insights from a leading genomics expert at the Broad Institute.

Explore the basics of medical and population genetics, covering human genetic variation, genotyping, and DNA sequencing methods in this informative primer series.

Explore genetic variations in neglected populations and sex chromosomes with Marla Mendes' insights on inclusive genomics.

Explore the creation, processing, and quality control of gnomAD v4, a comprehensive genomic database, with insights into variant quality and intolerance analysis.

Explore clinical variant and gene classification with expert Heidi Rehm. Gain insights into complex trait genetics, human genetic variation, and data analysis techniques for medical and population genetics research.

Explore the sequencing technology landscape and current offerings in clinical labs, focusing on advancements and applications in medical and population genetics.

Explore interpretable machine learning techniques for model oversight and gaining valuable insights with Finale Doshi-Velez in this colloquium on AI applications in biomedicine.