CODEX

CODEX is a software tool used for analyzing genetic variations in humans. It uses high-throughput sequencing of DNA coding regions to identify copy number variations (CNV). However, detecting and characterizing CNV from exome sequencing can be difficult due to various biases and artifacts. To address this challenge, CODEX proposes a normalization and CNV calling procedure that employs a Poisson latent factor model to remove specific biases such as GC content, exon capture and amplification efficiency, and latent systemic artifacts. Additionally, it includes a recursive segmentation procedure that explicitly models count-based exome sequencing data. Compared to other methods, CODEX shows improved accuracy on several validation datasets and is able to effectively detect CNVs with complex structures in a neuroblastoma sample.

Topic

Exome sequencing

Detail

  • Operation: Copy number estimation

  • Software interface: Command-line user interface, Library

  • Language: R

  • License: GNU General Public License, version 2

  • Cost: Free

  • Version name: 1.36.0

  • Credit: Biomedical Graduate Studies at the University of Pennsylvania, Alfred P. Sloan Foundation, National Institute of Health.

  • Input: -

  • Output: -

  • Contact: Yuchao Jiang yuchaoj@wharton.upenn.edu

  • Collection: -

  • Maturity: Stable

Publications

  • CODEX: a normalization and copy number variation detection method for whole exome sequencing.
  • Jiang Y, et al. CODEX: a normalization and copy number variation detection method for whole exome sequencing. CODEX: a normalization and copy number variation detection method for whole exome sequencing. 2015; 43:e39. doi: 10.1093/nar/gku1363
  • https://doi.org/10.1093/nar/gku1363
  • PMID: 25618849
  • PMC: PMC4381046

Download and documentation


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