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[ 原始碼: arden  ]

套件: arden (1.0-5)

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.

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    interactive high-level object-oriented language (default python3 version)
  • dep: python3-htseq
    Python3 high-throughput genome sequencing read analysis utilities
  • dep: python3-matplotlib
    Python based plotting system in a style similar to Matlab (Python 3)
  • dep: python3-numpy
    Fast array facility to the Python 3 language
  • dep: python3-scipy
    scientific tools for Python 3

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