AneuFinder
AneuFinder analyzes copy number variations (CNVs) from single-cell whole-genome sequencing (scWGS) to characterize chromosome instability and aneuploidy in cancer.
Key Features:
- Automated CNV Calling: Identifies and annotates copy number changes across individual cells from scWGS data.
- CNV Heterogeneity Quantification: Quantifies heterogeneity of CNVs between cells to assess chromosomal instability within samples.
- Comprehensive Data Analysis: Processes single-cell whole-genome sequencing data to provide an unbiased overview of CNVs at single-cell resolution.
- Visualization and Export: Produces plots of CNV data and exports results for downstream analysis.
Scientific Applications:
- Cancer genomics: Applied to scWGS data to study chromosome instability and aneuploidy in cancers, including lymphomas and leukemias.
- Model and clinical sample analysis: Used to analyze scWGS from p53-deficient mouse models and human B cell leukemias to detect high CNV heterogeneity indicative of ongoing chromosomal instability.
Methodology:
Data processing: handling raw scWGS sequencing data to extract CNV information; annotation and analysis: automatic annotation of copy number changes and quantification of heterogeneity across the cell population; interpretation: generating visualizations and exported results.
Topics
Collections
Details
- License:
- Artistic-2.0
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 1/17/2017
- Last Updated:
- 1/13/2019
Operations
Publications
Bakker B, Taudt A, Belderbos ME, Porubsky D, Spierings DCJ, de Jong TV, Halsema N, Kazemier HG, Hoekstra-Wakker K, Bradley A, de Bont ESJM, van den Berg A, Guryev V, Lansdorp PM, Colomé-Tatché M, Foijer F. Single-cell sequencing reveals karyotype heterogeneity in murine and human malignancies. Genome Biology. 2016;17(1). doi:10.1186/s13059-016-0971-7. PMID:27246460. PMCID:PMC4888588.