[ ソース: arden ]
パッケージ: arden (1.0-6)
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.
その他の arden 関連パッケージ
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- dep: python3
- interactive high-level object-oriented language (default python3 version)
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- dep: python3-htseq
- Python3 high-throughput genome sequencing read analysis utilities
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- dep: python3-matplotlib
- Python based plotting system in a style similar to Matlab
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- dep: python3-numpy
- Fast array facility to the Python language (Python 3)
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- dep: python3-scipy
- scientific tools for Python 3