Bioinformatics/Human Genetics Seminar Series: Jennifer Wilson, PhD, Assistant Professor, Bioengineering, UCLA
ZOOM CA, United StatesTITLE: "Deriving network parameters for understanding drug effects.” Hosted by Jason Ernst.
TITLE: "Deriving network parameters for understanding drug effects.” Hosted by Jason Ernst.
TITLE: “The new forensic genetics: 'long-range' search and genetic privacy.” Hosted by Nandita Garud.
TITLE: "P-value-free solution to fix exaggerated false positives by popular differential expression methods." ABSTRACT: We report a surprising phenomenon that popular bioinformatics methods for identifying differentially expressed genes (DEG) between […]
TITLE: "Cellular plasticity in Cancer." Hosted by Jason Ernst.
Molecular biology has taught us a great deal about what is happening inside a cell, that is that pathways can get very complicated and life is not just independent pathways but networks. Fortunately, we can use computational tools to understand dynamics of complex networks. This workshop introduces the basic concepts of modeling cell signaling pathways. […]
TITLE: "Characterizing distinct cell states based on stimulus-response dynamics." ABSTRACT: Macrophages show remarkable functional pleiotropy that is dependent on microenvironmental context. Prior studies have characterized how polarizing cytokines alter epigenetic […]
TITLE: "Quantitative flux analysis reveals redistribution of glycolytic pathways in dynamic nutrient environments." ABSTRACT: Optimal operation of metabolic fluxes is critical for an organism to be evolutionarily competitive. Textbook glycolysis […]
TITLE: “Walking the line between progress and paternalism in genetic counseling.” Hosted by Christina Palmer.
TITLE: "Multimodal Single-Cell Epigenomic Sequencing of the Developing Human Cerebral Cortex." ABSTRACT: Single cell epigenomic technologies allow the measurement of unique molecular signatures within cells, however cell type complexity remains highly […]
TITLE: "moPepGen: a fast custom database generator from multi-omics data for proteogenomics." ABSTRACT: Cancers are driven by genomic variants such as SNV (single nucleotide variants) and INDEL, often accompanied by […]