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Pakiet: arden (1.0-3)

specificity control for read alignments using an artificial reference

ARDEN (Artificial Reference Driven Estimation of false positives in NGS data) is a novel benchmark that estimates error rates based on real experimental reads and an additionally generated artificial reference genome. It allows the computation of error rates specifically for a dataset and the construction of a ROC-curve. Thereby, it can be used to optimize parameters for read mappers, to select read mappers for a specific problem or also to filter alignments based on quality estimation.

Inne pakiety związane z arden

  • wymaga
  • poleca
  • sugeruje
  • dep: python
    interactive high-level object-oriented language (default version)
  • dep: python-htseq
    high-throughput genome sequencing read analysis utilities
  • dep: python-matplotlib
    Python based plotting system in a style similar to Matlab
  • dep: python-numpy
    Numerical Python adds a fast array facility to the Python language
  • dep: python-scipy
    scientific tools for Python

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