Skip to content
Sections
>> Trisquel >> Paketit >> etiona >> science >> fitgcp
[  etiona  ] [  nabia  ] [  aramo  ]
[ Source: fitgcp  ]

Paketti: fitgcp (0.0.20150429-1)

fitting genome coverage distributions with mixture models

Genome coverage, the number of sequencing reads mapped to a position in a genome, is an insightful indicator of irregularities within sequencing experiments. While the average genome coverage is frequently used within algorithms in computational genomics, the complete information available in coverage profiles (i.e. histograms over all coverages) is currently not exploited to its full extent. Thus, biases such as fragmented or erroneous reference genomes often remain unaccounted for. Making this information accessible can improve the quality of sequencing experiments and quantitative analyses.

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.

Muut pakettiin fitgcp liittyvät paketit

  • depends
  • recommends
  • suggests
  • dep: python
    interactive high-level object-oriented language (default version)
  • dep: python-numpy
    Numerical Python adds a fast array facility to the Python language
  • dep: python-pysam
    interface for the SAM/BAM sequence alignment and mapping format (Python 2)
  • dep: python-scipy
    scientific tools for Python

Imuroi fitgcp

Imurointi kaikille saataville arkkitehtuureille
Arkkitehtuuri Paketin koko Koko asennettuna Tiedostot
amd64 12.0 kt50 kt [tiedostoluettelo]