Computational Genomics Summer Institute CGSI Courses

Statistical Methods for Cancer Risk Prediction Models - CGSI 2023

Explore statistical methods for cancer risk prediction models, focusing on Bayesian approaches and applications to Li-Fraumeni syndrome and personalized risk assessment for cancer survivors.

• YouTube
• 51 minutes
• On-Demand
• Free Video

MM Principle of Optimization - CGSI 2023

Explore the MM Principle of Optimization in computational genomics, covering algorithms, applications in signal processing, and machine learning techniques.

• YouTube
• 48 minutes
• On-Demand
• Free Video

Advances in Large-Scale Multiple Sequence Alignment

Explore cutting-edge techniques in large-scale multiple sequence alignment, focusing on graph clustering, weighted consensus HMM, and phylogeny-aware methods for improved bioinformatics analysis.

• YouTube
• 26 minutes
• On-Demand
• Free Video

How to Squeeze the Best Genome Assembly From Your HiFi Reads - CGSI 2023

Explore advanced techniques for optimizing genome assembly using HiFi reads. Learn about haplotype-resolved assembly, complex repetitive regions, and optical map-based scaffolding for improved accuracy.

• YouTube
• 32 minutes
• On-Demand
• Free Video

Independence Tests and Dependence Measures for Unbiased and Biased Samples

Explore independence tests and dependence measures for unbiased and biased samples. Learn statistical techniques to analyze relationships between variables in genomic data.

• YouTube
• 47 minutes
• On-Demand
• Free Video

Design, Construction, and Usage of the Draft Pangenome - CGSI 2023

Explore the design, construction, and application of draft pangenomes in genomics. Learn about structural variations, gene expression impacts, and efficient genotyping techniques using cutting-edge pangenome approaches.

• YouTube
• 35 minutes
• On-Demand
• Free Video

From Mutagenic Processes to Mutational Signatures and Back

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

• YouTube
• 52 minutes
• On-Demand
• Free Video

Generating Realistic Chromosome-Scale Simulations for Population Genomics Studies

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

• YouTube
• 41 minutes
• On-Demand
• Free Video

BART: A Transcriptional Regulator Prediction Method for Functional Genomics

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

• YouTube
• 32 minutes
• On-Demand
• Free Video

Computational Insights into Cancer Immunology

Explore computational approaches in cancer immunology, focusing on RNA sequencing, tumor microenvironment analysis, and immunotherapy response prediction in non-small cell lung cancer.

• YouTube
• 41 minutes
• On-Demand
• Free Video

Intuition and Paradoxes in Probability and Statistics

Explore paradoxes and counterintuitive concepts in probability and statistics, enhancing understanding of complex statistical phenomena in computational genomics.

• YouTube
• 39 minutes
• On-Demand
• Free Video

SwabSeq: Sequencing-based Detection of Pathogens - CGSI 2023

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.

• YouTube
• 43 minutes
• On-Demand
• Free Video

Machine Learning Models for Single Cell and Regulatory Genomics - CGSI 2023

Explore machine learning models for single-cell and regulatory genomics, focusing on recent research and applications in computational biology.

• YouTube
• 48 minutes
• On-Demand
• Free Video

Why is This So Hard? It Should Be Easy - Challenges in Computational Genomics

Explore challenges in computational genomics and learn strategies to overcome complexities in data analysis and interpretation.

• YouTube
• 29 minutes
• On-Demand
• Free Video

Machine Learning via Graph Signal Processing for Complex Biological Data

Explore machine learning techniques using graph signal processing for analyzing complex biological data, focusing on geometric scattering networks and their applications in computational genomics.

• YouTube
• 24 minutes
• On-Demand
• Free Video