CGSI 2022
- John Novembre | Lessons in human genetic variation and the impact of divergence, gene flow, and selection: Sardinia population history and complex trait variation
- Casey Greene | Integrating -omic data across datasets and layers
- Rayan Chikhi | Recent progress towards petabase-scale genomics
- Wenyi Wang | Computational deconvolution of cancer genomes/transcriptomes
- Jaehee Kim | Bayesian Inference of Dependent Population Dynamics in Coalescent Models
- Ben Raphael | Alignment, Integration, and Modeling of Spatial Transcriptomics Data
- Siavash Mirarab | Distance-based phylogenetics: past, present, and (perhaps) future
- Melissa Gymrek | A practical guide to performing genome-wide analyses of tandem repeats
- Valerie Arboleda | Integration of monogenic and common variants in human disease
- Teresa Przytycka | Mutational Signatures – form methods to mechanisms
- Brian Browning | Haplotype phasing: methods and accuracy
- Or Zuk | Evaluating the potential benefits of embryo screening using polygenic scores for multiple continuous and disease traits
- Jazlyn Mooney | On the number of genealogical ancestors tracing to the source groups of an admixed population
- Jonathan Flint | Genetics basis of depression
- Eleazar Eskin | Swab-Seq: COVID-19 Testing leveraging Computational Genomics and Genomics Technology
- Karen Conneely | Clonal hematopoiesis of indeterminate potential and DNA methylation in aging and disease
- Nandita Garud | How do we detect evolution from microbiome data?
- Sasha Gusev | Understanding GWAS mechanisms with Transcriptome-Wide Association Studies
- Tandy Warnow | Multiple Sequence Alignment
- David Knowles | Determining the molecular intermediates between genotype and phenotype
- Pejman Mohammadi | Quantitative models of genetic variation in cis-regulation
- Pier Palamara | Large-scale inference of ancestral recombination graphs enables genealogy-based association of complex traits
- Alex Zelikovsky | Analysis of SARS-CoV-2 Sequencing Data
- Na Cai | Phenotype integration improves power and preserves specificity in biobank-based genetic studies of Major Depressive Disorder
- Nick Mancuso | Variational Inference for large-scale genomic data
- Nanyun Violet Peng | Discourse-level Natural Language Understanding for Scientific Literature
- Ilan Gronau | The Case for Genetic Genealogies in Population Genomics
- Johanna Hardin | onlineFDR control with applications to RNA-Seq data
- Sagi Snir | Horizontal Gene Transfer Phylogenetics: A Random Walk Approach
- Itsik Pe'er | Stochastic dynamics of the microbiome
- Rayan Chikhi | Hands-on introduction to pangenome graphs
- Rajesh Ranganath | Out of Distribution Generalization
- Lisa Bastarache | EHR Data quality: Why you should worry & what you can do about it
- Haky Im | Integrating multiple omic data to improve mechanistic understanding and prediction
- James Zou | How to perform in silico clinical trials using EHR
- Jingyi Jessica Li | Statistical Rigor in Genomics Data Science
- Nancy Cox | How Genetics Can Help Untangle Institutionalized Health Inequity
- Loes Olde Loohuis | Disease trajectories of severe mental illness | 2022
- Harold Pimentel | Inference methods for high-throughput CRISPR screens
- Xihong Lin | Overview of Rare Variant Analysis of Whole Genome Sequencing Association Studies
- Sushmita Roy | Inference of Gene Regulatory Networks from bulk and single cell omic datasets | CGSI 2022
- Rajesh Ranganath | Interpretability and Out of Distribution Generalization in Deep Predictive Models | CGSI 2022
- Paul Boutros | Computational Methods to Quantify Lethal Cancer Evolution
- Eimear Kenny | Population Genetics in an Era of Genomic Health
- Chris Gignoux | Applying polygenic scores at biobank scale
- Loic Yengo | Lessons from the Largest Genome-Wide Association Study of Human Height
- Bogdan Pasaniuc | Personalized genomic medicine using large-scale biobanks linked with medical records
- Smita Krishnaswamy | Harnessing Data Geometry for Biomedical Insights
- Kayhan Batmanghelich | Bridging ML Models with Medical Insights for Learning, Inference, and Model Explanation for Radiology Applications
- Jason Ernst | A Tutorial on Computational Methods for Modeling and Analyzing Epigenomic Data
- Sriram Sankararaman | Machine learning for Biobank-scale data
- Iman Hajirasouliha | Applications of Deep Learning to Genomics and Digital Pathology
- Daniel Tward | Multiscale metrics for comparing spatial transcriptomics datasets
- Kirk Lohmueller | The Poisson Random Field model in population genetics