Center for Integrated Cellular Analysis

Past Talks

Optics-free spatial genomics for mapping mouse brain aging
A panoramic view of cell population dynamics in mammalian aging
Systematic reconstruction of molecular pathway signatures using scalable single-cell perturbation screens
Breast Cancer Macrophage Heterogeneity and Self-renewal are Determined by Spatial Localization
Single-cell multi-omics defines the cell-type-specific impact of splicing aberrations in human hematopoietic clonal outgrowths
Phospho-seq: Integrated, multi-modal profiling of intracellular protein dynamics in single cells
Spatial transcriptomics and computational methods
Single-cell genomics methods
Single-cell chromatin analysis
Single-cell genomics and computational methods
Single-cell genomics methods
Single-cell genomics and lineage tracing
Integrated analysis of multimodal single-cell data
Single-cell genomics methods
Single-cell genomics and computational methods
Single-cell genomics and cancer research
Immune and malignant cell phenotypes of ovarian cancer are determined by distinct mutational processes
Characterizing cellular heterogeneity in chromatin state with scCUT&Tag-pro
PySeq2500: An open source toolkit for repurposing HiSeq 2500 sequencing systems as versatile fluidics and imaging platforms
Clonal fitness inferred from time-series modelling of single-cell cancer genomes
Multimodal single-cell chromatin analysis with Signac
A convolutional neural network for common coordinate registration of high-resolution histology images
Characterizing the molecular regulation of inhibitory immune checkpoints with multi-modal single-cell screens
Scalable, multimodal profiling of chromatin accessibility and protein levels in single cells
Integrated analysis of multimodal single-cell data