Events for November 15, 2021 - February 11, 2022

TITLE: “Model driven design and analysis of quantitative phenotype screens” ABSTRACT: Increasingly, CRISPR screens are coupled with flow cytometry (FACS) to sort cells and quantify the impact of genetic perturbations on a continuous phenotype. While FACS provides much more quantitative information than simple survival screens, it introduces a number of experimental and statistical challenges. Furthermore, as experimentalists push […]

TITLE: “Salivary exRNA for Gastric Cancer Detection” ABSTRACT: Biomarkers are needed for non-invasive early detection of gastric cancer (GC). We investigated whether salivary extracellular RNA (exRNA) biomarkers can be used as an efficient and economical clinical evaluation tool for GC. Unstimulated whole saliva samples were prospectively collected from 294 subjects (163 GC and 131 non-GC controls) who underwent endoscopic evaluation at […]

TITLE: “From Bench to Vending Machine: Development and Deployment of Novel Diagnostic testing for SARS-CoV-2 using Genomic Technology” ABSTRACT: Frequent and widespread testing of members of the population who are asymptomatic for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is essential for the mitigation of the transmission of the virus. Despite the recent increases in testing capacity, tests […]

“Genetic and environmental effects on chromatin accessibility at cardiometabolic trait loci” Hosted by Paivi Pajukanta

“Omic insights into Andean high-altitude adaptation” Hosted by Jason Ernst

“The genetic legacy of the trans-atlantic slave trade into New Spain” Hosted by Kirk Lohmueller

“New methods for analyzing genome-wide association study data, including improved tools for computing polygenic risk scores” Hosted by Maria Izabel Cavassim

TITLE: “Learning cellular state and dynamics in single cell genomics” Hosted by Jessica Li

TITLE: "scAllele, a versatile tool for the detection and analysis of variants in scRNA-seq." ABSTRACT: Single-cell RNA sequencing (scRNA-seq) data contain rich information at the gene, transcript, and nucleotide levels. Most analyses of scRNA-seq have focused on gene expression profiles, and it remains challenging to extract nucleotide variants and isoform-specific information. Here, we present scAllele, […]

TITLE: "AutoComplete: Deep Learning-based Phenotype Imputation" ABSTRACT: Health data has become increasingly available, vast in scale, and highly missing. For many downstream applications, the ability to accurately impute missing features in health records may tap into additional analytical power which would be unrealized otherwise. While existing imputation methods are applicable, many fall short in one […]