StarmapVis: An interactive and narrative visualisation tool for single-cell and spatial data

  • Shichao Ma
  • , Xiunan Fang
  • , Yu Yao
  • , Jianfu Li
  • , Daniel C. Morgan
  • , Yongyan Xia
  • , Crystal S.M. Kwok
  • , Michelle C.K. Lo
  • , Dickson M.D. Siu
  • , Kevin K. Tsia
  • , Andrian Yang*
  • , Joshua W.K. Ho*
  • *Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

3 Citations (Scopus)

Abstract

Current single-cell visualisation techniques project high dimensional data into ‘map’ views to identify high-level structures such as cell clusters and trajectories. New tools are needed to allow the transversal through the high dimensionality of single-cell data to explore the single-cell local neighbourhood. StarmapVis is a convenient web application displaying an interactive downstream analysis of single-cell expression or spatial transcriptomic data. The concise user interface is powered by modern web browsers to explore the variety of viewing angles unavailable to 2D media. Interactive scatter plots display clustering information, while the trajectory and cross-comparison among different coordinates are displayed in connectivity networks. Automated animation of camera view is a unique feature of our tool. StarmapVis also offers a useful animated transition between two-dimensional spatial omic data to three-dimensional single cell coordinates. The usability of StarmapVis is demonstrated by four data sets, showcasing its practical usability. StarmapVis is available at: https://holab-hku.github.io/starmapVis.
Original languageEnglish
Pages (from-to)1598-1605
Number of pages8
JournalComputational and Structural Biotechnology Journal
Volume21
DOIs
Publication statusPublished - Jan 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

User-Defined Keywords

  • Web application
  • Single-cell data visualisation
  • Spatial-single cell integration
  • Narrative visualisation

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