DNAcopy

DNAcopy implements the circular binary segmentation (CBS) algorithm to segment DNA copy number data and detect copy number variations (CNVs) for genomic and disease-relevant analyses.


Key Features:

  • Circular Binary Segmentation (CBS): Implements the CBS algorithm to partition DNA copy number data into segments with homogeneous copy number states.
  • Bioconductor integration: Distributed within the Bioconductor project to enable interoperability with other R packages in genomic workflows.
  • R implementation: Implemented in the R statistical programming language to support statistical analysis and reproducible workflows.

Scientific Applications:

  • CNV detection in disease research: Identifies genomic regions with abnormal copy numbers that can be associated with diseases such as cancer.
  • Genetic variation and phenotype studies: Facilitates analysis of copy number variation contributions to phenotypic diversity and disease susceptibility.
  • Large-scale genomics projects: Provides segmentation suitable for high-throughput studies requiring reliable copy number analysis.

Methodology:

Applies the circular binary segmentation (CBS) algorithm to segment DNA copy number data into regions with distinct copy numbers.

Topics

Collections

Details

License:
GPL-2.0
Tool Type:
command-line tool, library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
1/17/2017
Last Updated:
11/25/2024

Operations

Publications

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M. Orchestrating high-throughput genomic analysis with Bioconductor. Nature Methods. 2015;12(2):115-121. doi:10.1038/nmeth.3252. PMID:25633503. PMCID:PMC4509590.

Documentation

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