Aneuvis: Web-based exploration of numerical chromosomal variation in single cells

Daniel G. Piqué, Grasiella A. Andriani, Elaine Maggi, Samuel E. Zimmerman, John M. Greally, Cristina Montagna, Jessica C. Mar

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


Background: Numerical chromosomal variation is a hallmark of populations of malignant cells. Identifying the factors that promote numerical chromosomal variation is important for understanding mechanisms of carcinogenesis. However, the ability to quantify and visualize differences in chromosome number between experimentally-defined groups (e.g. control vs treated) obtained from single-cell experiments is currently limited by the lack of user-friendly software. Results: Aneuvis is a web application that allows users to determine whether numerical chromosomal variation exists between experimental treatment groups. The web interface allows users to upload molecular cytogenetic or processed single cell whole-genome sequencing data in a cell-by-chromosome matrix format and automatically generates visualizations and summary statistics that reflect the degree of numeric chromosomal variability. Conclusions: Aneuvis is the first user-friendly web application to help researchers identify the genetic and environmental perturbations that promote numerical chromosomal variation. Aneuvis is freely available as a web application at and the source code for the application is available at

Original languageEnglish (US)
Article number336
JournalBMC bioinformatics
Issue number1
StatePublished - Jun 17 2019


  • Aneuploidy
  • Automated hypothesis testing
  • Fluorescence in situ hybridization
  • Multi-experiment comparison
  • Numerical chromosomal variation
  • Single-cell genomics
  • Visualization

ASJC Scopus subject areas

  • Structural Biology
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Applied Mathematics


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