TITLE: "ClusterDE: a post-clustering differentially expressed (DE) gene identification method robust to false-positive inflation caused by double-dipping" ABSTRACT: In typical single-cell RNA-seq data analysis, first, a clustering algorithm is applied […]
TITLE: "Germline structural variants shape prostate cancer clinical and molecular evolution." ABSTRACT: Inherited genetic variation profoundly influences cancer risk and outcome. While the impact of germline single nucleotide polymorphisms has […]
The workshop will cover experimental approaches to protein interaction determination; processing and presentation of interaction data available from online resources, and the role of interaction data in the interpretation of large scale datasets. Highly encourage: Students should working knowledge of python scripting.
Join us for an illuminating conversation with: Alexander Hoffmann, Director, Institute for Quantitative & Computational Biosciences, Thomas M. Asher Professor of Microbiology, UCLA Microbiology, Immunology & Molecular Genetics Elaine F. Reed, Daljit S. […]
TITLE: "FastGxC: a statistical framework for mapping context-specific regulatory variants using bulk and single-cell RNA-seq data." ABSTRACT: Recent studies suggest that context-specific eQTLs underlie genetic risk factors for complex diseases. However, methods for identifying them are still nascent, limiting their comprehensive characterization and downstream interpretation of disease-associated variants. In this talk, I will introduce FastGxC, a method to efficiently and powerfully […]
TITLE: "A lack of distinct cellular identities in scRNA-seq data: revisiting Waddington’s landscape." ABSTRACT: Single-cell RNA sequencing is revolutionizing our understanding of development, differentiation and disease. Analysis of this data is often challenging, however, and tasks like clustering cells to uncover distinct cellular identities sometimes yields results that fail to align with existing biological knowledge. We analyzed […]
TITLE: "Single Cell Multiomics Integration to Understand Complex Diseases." ABSTRACT: Recent advances in single cell multiomics technologies such as single cell RNA-seq, single cell ATAC-seq, and spatial transcriptomics have brought enormous opportunities that enable our understanding of the molecular underpinnings of pathophysiology at a single cell or cell type resolution. However, integrative analysis across single […]
TITLE: "Liquid Biopsies for Precision Oncology." ABSTRACT: Liquid biopsies are new diagnostic approaches to profile molecular features of solid tumors by blood, saliva, urine, and other body fluids. Such approaches offer non-invasive options in early cancer detection, tumor sampling, continuous monitoring, and designing personalized therapeutic options. Therefore, liquid biopsies have the potential to transform the […]
