BMC BioinformaticsBioinformaticsPeer-reviewed journal article
Aneuvis: Web-based exploration of numerical chromosomal variation in single cells
Daniel G. PiquéiD, Grasiella A Andriani, Elaine C. MaggiiD, Samuel E. ZimmermaniD, John M. GreallyiD, Cristina MontagnaiD, Jessica C. MariD
- Citations
- 2
- FWCI
- 0.15
- Field percentile
- 49th percentile
Abstract
MotivationAberrations in chromosomal copy number are one of the most common molecular features observed in cancer. Quantifying the degree of numerical chromosomal variation in single cells across a population of cells is of interest to researchers studying whole chromosomal instability (W-CIN). W-CIN, a state of high numerical chromosomal variation, contributes to treatment resistance in cancer.\n\nResultsHere, we introduce aneuvis, 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 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. Aneuvis is the first user-friendly web application to help researchers identify the genetic and environmental perturbations that promote numerical chromosomal variation.\n\nAvailability and ImplementationAneuvis is freely available as a web application at https://dpique.shinyapps.io/aneuvis/. Website implemented using Shiny version 1.0.5 with all major browsers supported. All source code for the application is available at https://github.com/dpique/aneuvis.
- assay: whole-genome sequencing
- research focus: benchmarking
- research focus: software / tool
- approach: experimental assay
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