Events for November 3, 2023 - November 6, 2023

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 two conditions have unexpectedly high false discovery rates (FDRs) on large-sample-size RNA-seq datasets. Failed FDR control is likely due to the invalid p-values which rely on […]

TITLE: "Cellular plasticity in Cancer." Hosted by Jason Ernst.

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 or signaling mechanisms, but how they affect specific macrophage functions has not been characterized systematically. One hallmark function of macrophages is to mount immune-threat appropriate […]

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 is a conserved pathway that optimally utilizes carbohydrates for growth. However, it is unclear why some organisms simultaneously possess the parallel Entner-Doudoroff (ED) pathway, which […]

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 enigmatic. Emerging methods have enabled multiple modalities of epigenomic sequencing to be gathered from the same cell. Single-nucleus methyl-3C sequencing (sn-m3C-seq) delivers the capacity to […]

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 many transcriptional variants. Modern mass spectrometry based proteomics is able to identify and quantify peptides and proteins comprehensively, however the variant-harboring peptides that are absent […]

TITLE: "Automated genetic analysis" Hosted by Nandita Garud.

TITLE: "Genomics for precision public health in Colombia" Hosted by Juan De La Hoz.