← Back to Projects ISCVAM — Single-Cell Multiomics

05 — Bioinformatics Research · Multiomics AACR 2023

ISCVAM — Interactive Visual Analytics for Single-Cell Multiomics

An interactive visual analytics platform for single-cell multiome data. Integrates sc-RNA and sc-ATAC data to study transcriptomic and epigenetic profiles simultaneously. Features flexible clustering to identify rare cell populations, and supports cross-dataset comparison of up to three datasets for reproducibility. Accepted for presentation at AACR 2023.

Multiomics Docker deployment Interactive Viz Reproducible pipeline Research

Research Poster

ISCVAM HCI Poster — AACR 2023