Computational Genomics Summer Institute CGSI Courses

Stdpopsim - A Community-Maintained Library of Standard Population Genetic Simulation Models

Explore stdpopsim, a community-maintained library providing standardized population genetic simulation models for computational genomics research and analysis.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Unsupervised Representation Learning with Applications to 3D Genome Organization and Cell-Type-Specific Gene Regulatory Programs

Explore unsupervised representation learning techniques for analyzing 3D genome organization and cell-type-specific gene regulatory networks in computational genomics.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Measuring Reproducibility of High Throughput Experiments and LLM Generated Analyses

Discover methods for measuring reproducibility in high-throughput genomics experiments and evaluating LLM-generated data science analyses through statistical frameworks.

• YouTube
• 42 minutes
• Self-Paced
• Free Video

Predicting New Drug Phenotype by Simulating Off Target Effects

Discover how to predict drug phenotypes by simulating off-target effects using network-based computational approaches and protein-protein interaction modeling.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

Separating Good Kmers from Bad Kmers in Viral Metagenomics

Discover advanced techniques for distinguishing reliable from unreliable k-mers in viral metagenomics analysis and improve genomic data quality.

• YouTube
• 45 minutes
• Self-Paced
• Free Video

Evaluation of Generative AI Models in Healthcare

Explore rigorous evaluation methods for generative AI in healthcare, focusing on construct validity and sample-level metrics for medical applications.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Integrative Deep Learning for Heterogeneous Biomedical Datasets

Explore integrative deep learning techniques for combining diverse biomedical data types, including graph-based drug discovery and multimodal attention mechanisms for disease diagnosis.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

A Guide to Transcriptomic Deconvolution in Cancer

Discover advanced methods for analyzing tumor heterogeneity and immune infiltration through transcriptomic deconvolution techniques in cancer research.

• YouTube
• 53 minutes
• Self-Paced
• Free Video

Living in the Past of Genomics

Explore how historical mathematical concepts from the 1940s continue to shape modern genomics through k-mer approaches and combinatorial methods in biodiversity research.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

Statistical and Computational Methods for Cell Type Deconvolution in Spatial Transcriptomics

Explore statistical and computational approaches for identifying cell types in spatial transcriptomics data through advanced deconvolution methods and practical applications.

• YouTube
• 40 minutes
• Self-Paced
• Free Video

Advances in Large Scale Multiple Sequence Alignment

Discover cutting-edge techniques for aligning thousands of biological sequences efficiently, exploring computational methods that revolutionize genomic analysis and phylogenetic studies.

• YouTube
• 45 minutes
• Self-Paced
• Free Video

Incomplete Lineage Sorting - Phylogenetics Meets Population Genetics

Explore incomplete lineage sorting where phylogenetics intersects with population genetics, covering multispecies coalescent theory and direct species tree inference methods.

• YouTube
• 50 minutes
• Self-Paced
• Free Video

Evaluating the Utility of IVF Embryo Screening for Polygenic Disease Risk

Explore the scientific evaluation of polygenic risk screening in IVF embryos, examining epidemiological, clinical, and ethical considerations for disease prevention.

• YouTube
• 43 minutes
• Self-Paced
• Free Video

Genotype-Phenotype Heterogeneity in Autism

Explore genetic complexity in autism through genotype-phenotype relationships and rare coding variations that shape neurobiological development and disorder risk.

• YouTube
• 44 minutes
• Self-Paced
• Free Video

Evolutionary Models and Algorithms for Tumor Phylogeny Inference

Explore evolutionary models and algorithms for inferring tumor phylogeny from genomic data, covering copy-number constraints and single-cell sequencing approaches.

• YouTube
• 20 minutes
• Self-Paced
• Free Video