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Source: unanimity
Maintainer: Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
Uploaders: Afif Elghraoui <afif@debian.org>,
Andreas Tille <tille@debian.org>
Section: science
Testsuite: autopkgtest-pkg-python
Priority: optional
Build-Depends: debhelper (>= 12~),
dh-python,
cmake,
swig,
python-setuptools,
python-all-dev,
python-numpy,
libboost-dev,
libhts-dev,
libpbbam-dev (>= 0.18.0+dfsg-1~),
libpbcopper-dev,
libseqan2-dev,
pandoc
Standards-Version: 4.3.0
Vcs-Browser: https://salsa.debian.org/med-team/unanimity
Vcs-Git: https://salsa.debian.org/med-team/unanimity.git
Homepage: https://github.com/PacificBiosciences/unanimity
Package: unanimity
Architecture: any
Depends: ${shlibs:Depends},
${misc:Depends},
${python:Depends}
Description: generate and process accurate consensus nucleotide sequences
Unanimity provides a set of tools for consensus sequences from Pacific
Biosciences sequencing data:
* Circular Consensus Calling
ccs takes multiple reads of the same SMRTbell sequence and combines them,
employing a statistical model, to produce one high quality consensus
sequence.
* Minor variant caller
juliet identifies minor variants from aligned ccs reads.
Package: python-consensuscore2
Architecture: any
Section: python
Depends: ${shlibs:Depends},
${misc:Depends},
${python:Depends}
Description: generate consensus sequences for PacBio data -- Python 2
ConsensusCore2 embodies core C++ routines underlying the Arrow HMM
algorithm for PacBio multi-sequence consensus. Arrow is the successor
to the Quiver model---a CRF model that was embodied in the
ConsensusCore C++ library. Compared to Quiver, the Arrow model is more
statistically principled and easier and more robust to train.
.
This package installs the library for Python 2.
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