Paquet : arden (1.0-6)

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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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dépendances

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dep: python3

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
dep: python3-numpy

Python library for numerical computations (Python 3)
dep: python3-scipy

scientific tools for Python 3

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all	88,0 ko	1 161,0 ko	[liste des fichiers]