
Explore allele-specific copy number variant genotyping using pangenomes. Learn advanced techniques for analyzing complex genomic variations in human populations.

Explore computational methods for modeling and analyzing epigenomic data, focusing on chromatin state discovery, genome annotation, and cross-species conservation in functional genomics.

Explore single-cell lineage tracing via genome editing, covering inference methods, design parameters, and data analysis for understanding cellular phylodynamics and evolution.

Explore high-throughput functional characterization techniques for dissecting and annotating human regulatory regions, leveraging advanced genomic mapping and integrative epigenomic approaches.

Explore population genetics using large genealogies, focusing on data analysis, relationship inference, and historical insights from Quebec's French Canadian population.

Explore detection methods for hard and soft selective sweeps in population genomics, focusing on Drosophila studies and statistical approaches.

Explore biobanks from a pathologist's perspective, focusing on genetic disorders, variant classification, and the interplay between monogenic and polygenic factors in disease expression.

Explore Timewarp: a transferable method for accelerating molecular dynamics simulations using normalizing flows, enhancing sampling efficiency for equilibrium properties of molecular systems.

Explore advanced biomolecular modeling using RoseTTAFold All-Atom. Learn to predict and design complex biological assemblies, including proteins, nucleic acids, and small molecules, with applications in drug discovery and synthetic biology.

Explore accelerated molecular dynamics simulation using Timewarp, a transferable AI method for efficient sampling of molecular systems and discovery of metastable states.

Explore advanced AI techniques for protein-ligand binding structure generation and binding site design, improving drug discovery and molecular interaction modeling.

Explore PepFlow, a deep learning approach for direct conformational sampling of peptides. Learn about its modular design, hypernetwork integration, and applications in drug discovery.

Explore a novel geometric deep learning framework for de novo genome assembly, enhancing path identification in complex assembly graphs for improved genomic sequence reconstruction.

Explore ML-based docking for binding affinity prediction in drug discovery, featuring insights from experts Stephan Thaler and Cristian Gabellini.

Explore protein folding and design techniques with Alex Tong, delving into advanced machine learning applications for drug discovery and structural biology.

Explore coarse-grained biological systems in drug discovery with Jacopo Venturin, delving into advanced machine learning applications for pharmaceutical research.

Explore population dynamics modeling techniques for drug discovery, focusing on innovative approaches and their applications in pharmaceutical research.

Explore virtual screening techniques for drug discovery through hands-on lab exercises guided by industry experts.

Explore virtual screening techniques for drug discovery with experts Lu Zhu and Cas Wognum in this recorded session from the 2024 ML for Drug Discovery Summer School.

Explore gene regulatory network structure and its impact on perturbation effects. Gain insights into simulating and modeling GRNs for improved understanding of gene expression regulation.

Explore insights from rebuilding AlphaFold2, including performance analysis, learning mechanisms, and current progress in protein structure prediction.