Single Cell & Spatial Transcriptomics Data Analysis

Single-cell and spatial transcriptomics (RNA-seq) has revolutionized our ability to generate hypothesis-driven, publication-quality data by providing unprecedented insights into cellular heterogeneity and gene expression patterns at the individual cell level. This powerful technique allows researchers to explore complex biological systems with remarkable resolution, uncovering novel cell types, states, and regulatory mechanisms. We help our clients to generate scientifically meaningful data, for publication, grants, and fellowship applications. Please look at some example figures, to understand the quality and level of our work.