
Explore mutagenic processes and mutational signatures in cancer genomics. Uncover DNA repair contributions, influence networks, and novel approaches to understanding cancer mutational landscapes.

Explore realistic chromosome-scale simulations for population genomics using advanced tools and techniques. Learn to generate accurate models for genetic studies and research.

Explore BART, a powerful method for predicting transcriptional regulators in functional genomics. Learn its applications, underlying algorithms, and impact on gene regulation research.

Explore SwabSeq, a sequencing-based method for detecting pathogens like SARS-CoV-2. Learn about its high-throughput capabilities, lean principles for quality improvement, and applications in COVID-19 testing.

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

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 target deconvolution techniques in drug discovery through hands-on lab exercises led by experts Ali Denton and Kristina Ulicna.

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 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.

Explore reverse transcriptases, template switching RT, and direct cDNA synthesis from cell lysates for enhanced single-cell analysis and gene expression studies.

Explore a multi-omic AI platform combining tumor and host data to predict disease survival outcomes using advanced biomarker panels and machine learning techniques.

Explore CETSA's role in target engagement and mode of action deconvolution, focusing on cell background impact and mass spectrometry coupling for small compound analysis.