Source: arden
Maintainer: Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
Uploaders: Andreas Tille <tille@debian.org>
Section: science
Priority: optional
Build-Depends: debhelper (>= 11~),
               dh-python,
               python-all
Standards-Version: 4.1.5
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/

Package: arden
Architecture: all
Depends: ${misc:Depends},
         ${python:Depends},
         python-scipy,
         python-numpy,
         python-htseq,
         python-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.