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.
Debian: Andreas Tille <firstname.lastname@example.org>
7 February 2014
Leaders and contributors
|Sven H. Giese||contact|
Resources and communication
|Debian (Ref) (R)||https://tracker.debian.org/pkg/arden|
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