CINdex
CINdex quantifies genome-wide DNA copy number alterations by computing the chromosome instability index (CIN) from experimental DNA copy number data (e.g., Affymetrix SNP 6.0 arrays).
Key Features:
- Automated Processing: Performs automated processing and interpretation of large-scale DNA copy number data from arrays and similar platforms.
- Chromosome Instability Index Calculation: Computes the chromosome instability index (CIN) to quantify overall genomic instability and separate gains and losses.
- Detailed Chromosomal and Cytoband Analysis: Characterizes copy number alterations at chromosome and cytoband levels to identify regions with significant variation.
Scientific Applications:
- Cancer Genomics: Quantifies DNA copy number alterations to characterize genomic instability in tumors.
- Biomarker and Therapeutic Target Discovery: Supports identification of candidate biomarkers or therapeutic targets by highlighting recurrent copy number changes.
- Clinical Correlation Studies: Enables studies correlating specific genomic copy number changes with clinical outcomes.
Methodology:
Implemented in R within the Bioconductor framework; it automates processing and interpretation of experimental DNA copy number data (e.g., Affymetrix SNP 6.0 arrays) and computes the chromosome instability index (CIN) with chromosome- and cytoband-level characterization of gains and losses.
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.