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 […]
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 […]
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 […]
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 […]
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 […]
TITLE: "Building a tooth from transcriptome to tissue morphogenesis" ABSTRACT: During craniofacial development, the oral epithelium begins as a morphologically homogeneous tissue that gives rise to locally complex structures, including […]
TITLE: “Inducible plasmid copy number control and a blueprint for a synthetic genetic feedback optimizer” ABSTRACT: The ability to control gene expression has been paradigm shifting for all areas of biological research, especially for […]
TITLE: "human microbiome variation across ethnicity and race” Hosted by Nandita Garud for Genetics & Genomics
