fitGCP – Fitting Genome Coverage Distributions with Mixture Models

fitGCP

:: DESCRIPTION

fitGCP is a framework for fitting mixtures of probability distributions to genome coverage profiles. Besides commonly used distributions, fitGCP uses distributions tailored to account for common artifacts. The mixture models are iteratively fitted based on the Expectation-Maximization algorithm.

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::DEVELOPER

JRG 4: Bioinformatics Research Group Bioinformatics (NG4), Robert Koch-Institut

: SCREENSHOTS

n/a

:: REQUIREMENTS

  • Linux/ Windows/ MacOsX
  • Python

:: DOWNLOAD

 fitGCP

:: MORE INFORMATION

Citation

Analyzing genome coverage profiles with applications to quality control in metagenomics
Martin S. Lindner, Maximilian Kollock, Franziska Zickmann and Bernhard Y. Renard,
Bioinformatics (2013) 29 (10): 1260-1267.