Events for October 30, 2023 - July 21, 2023

TITLE: "Restricted diet drives autism gut-microbiome associations, and other tales from the Australian Autism Biobank" ABSTRACT: The Australian Autism Biobank (AAB) is an initiative of the Autism CRC – the first national, cooperative research effort focused on autism across the lifespan. The AAB recruited a total of ~2,500 autistic children, family members, and unrelated undiagnosed […]

TITLE: "Asymmetric Branching Scale Factors as Features in Neuronal Cell-Type Classification" ABSTRACT: Neurons are connected by complex branching processes - axons and dendrites - that process information for organisms to respond to their environment. Classifying neurons according to differences in structure or function is a fundamental piece of neuroscience. In previous work, we constructed a […]

“The role of chromosome evolution in adaptation and speciation in stickleback fish” Hosted by Kirk Lohmueller

TITLE: “TBD” Hosted by Sarah Spendlove

TITLE: "Comprehensive study of gene expression outliers and their regulation mechanisms in pan-cancer." ABSTRACT: With the ultimate aim of improving the management of cancer, many groups have studied the molecular characteristics of tumors. Typically, the heterogeneity of cancer evolves rapidly to adapt to its microenvironment, helping cancer evade selective pressures and progress. These various subclones […]

TITLE: "Massive parallelization of massive sample-size survival analysis." ABSTRACT: Large-scale observational health databases are increasingly popular for conducting comparative effectiveness and safety studies of medical products. However, increasing number of patients poses computational challenges when fitting survival regression models in such studies. In this paper, we use graphics processing units (GPUs) to parallelize the computational bottlenecks of […]

TITLE: "Climate change and maize response to pollutants: gene content, expression and regulation." Hosted by Kirk Lohmueller.

TITLE: "Phenotypic consequences of gene expression variability." ABSTRACT: The central dogma of biology proposes that information flows from genes to RNA to protein, determining protein identity and abundance. Single cell transcriptome measurements provide ample information about RNA abundance in cells. While the expression of individual genes clearly matters for determining phenotype, they do not work […]