TITLE: The evolution and co-evolution of PRDM9 across vertebrates ABSTRACT: In sexually reproducing organisms, meiotic recombination is initiated by the deliberate infliction of numerous double-strand breaks (DSBs) in the genome, the repair of which yields crossover and non-crossover resolutions. In most mammals, these DSBs are specified through the binding of PRDM9 and the deposition of […]
TITLE: "Linking exposure dose to infectious disease development using mechanistic models" (using SARS-CoV-2 in a mouse model as an illustration) ABSTRACT: Disease development after exposure to a pathogen does not follow […]
TITLE: “Inferring positive selection in the human gut microbiome using signatures of genetic linkage.” ABSTRACT: The human gut microbiome is composed of hundreds of simultaneously evolving species that can affect human […]
TITLE: "Quantifying response-specificity to diverse immune threats from single cell transcriptomes" ABSTRACT: Innate immune sentinel cells such as macrophages upregulate over a thousand genes in the minutes to hours following an […]
TITLE: "Efficient variance components analysis across millions of genomes." ABSTRACT: While variance components analysis has emerged as a powerful tool in complex trait genetics, existing methods for fitting variance components do […]
TITLE: "Asymptotic-Numerical Method For Cell Focusing in Microfluidic Channel." ABSTRACT: Inertial microfluidic devices use inertial lift forces to organize the spacing and positions of cells carried by flow. A hybrid […]
TITLE: "A pan-cancer landscape analysis of molecular and functional genomics in tumor proliferation." ABSTRACT: Rapid proliferation is a central hallmark of cancer and is associated with poor prognosis in most […]
Assistant Professor-Biostatistics, Department of Biostatistics and Epidemiology, Rutgers University "Model-based analysis of alternative polyadenylation using 3' end reads" Hosted by Jessica Li
TITLE: "Distal mediator-enriched placental transcriptome-wide association studies reveal genetic mechanisms supporting the Developmental Origins of Health and Disease." ABSTRACT: As the master regulator of the intrauterine environment, the placenta is […]
TITLE: "Clipper: p-value-free FDR control on high-throughput data from two conditions." ABSTRACT: High-throughput biological data analysis commonly involves identifying "interesting" features (e.g., genes, genomic regions, and proteins), whose values differ between two conditions, from numerous features measured simultaneously. The most widely-used criterion to ensure the analysis reliability is the false discovery rate (FDR). Existing bioinformatics […]
