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Source: arden
Maintainer: Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
Uploaders: Andreas Tille <tille@debian.org>,
Étienne Mollier <emollier@debian.org>
Section: science
Priority: optional
Build-Depends: debhelper-compat (= 13),
dh-python,
python3-all
Standards-Version: 4.7.0
Vcs-Browser: https://salsa.debian.org/med-team/arden
Vcs-Git: https://salsa.debian.org/med-team/arden.git
Homepage: http://sourceforge.net/projects/arden/
Rules-Requires-Root: no
Package: arden
Architecture: all
Depends: ${misc:Depends},
${python3:Depends},
python3-scipy,
python3-numpy,
python3-htseq,
python3-matplotlib
Description: 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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