Пакунок: fitgcp (0.0.20150429-4)

[ Source: fitgcp  ]

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.

Інші пакунки пов'язані з fitgcp

• dep: python3

  Інтерактивна обʼєктно-орієнтована мова високого рівня (типова версія „python3“)

• dep: python3-numpy

  Швидкі методи для роботи з числовими масивами для мови Python 3

• dep: python3-pysam

  interface for the SAM/BAM sequence alignment and mapping format (Python 3)

• dep: python3-scipy

  scientific tools for Python 3

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