Artifact pbdagcon_0.3+git20180411.c14c422+dfsg-9_arm64

Metadata
deb_control_files:
- control
- md5sums
deb_fields:
  Architecture: arm64
  Depends: libblasr5.3.5 (>= 5.3.5+dfsg), libc6 (>= 2.38), libgcc-s1 (>= 3.0), libpbbam2.4.0
    (>= 2.4.0+dfsg), libstdc++6 (>= 14), libpbseq (>= 5.3.5+dfsg-4~)
  Description: |-
    sequence consensus using directed acyclic graphs
     pbdagcon is a tool that implements DAGCon (Directed Acyclic Graph Consensus)
     which is a sequence consensus algorithm based on using directed acyclic
     graphs to encode multiple sequence alignment.
     .
     It uses the alignment information from blasr to align sequence reads to a
     "backbone" sequence. Based on the underlying alignment directed acyclic graph
     (DAG), it will be able to use the new information from the reads to find the
     discrepancies between the reads and the "backbone" sequences. A dynamic
     programming process is then applied to the DAG to find the optimum sequence
     of bases as the consensus. The new consensus can be used as a new backbone
     sequence to iteratively improve the consensus quality.
     .
     While the code is developed for processing PacBio(TM) raw sequence data,
     the algorithm can be used for general consensus purpose. Currently, it only
     takes FASTA input. For shorter read sequences, one might need to adjust the
     blasr alignment parameters to get the alignment string properly.
     .
     The code and the underlying graphical data structure have been used for some
     algorithm development prototyping including phasing reads and pre-assembly.
  Homepage: https://github.com/PacificBiosciences/pbdagcon
  Installed-Size: '1330'
  Maintainer: Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
  Package: pbdagcon
  Priority: optional
  Section: science
  Suggests: blasr
  Version: 0.3+git20180411.c14c422+dfsg-9
srcpkg_name: pbdagcon
srcpkg_version: 0.3+git20180411.c14c422+dfsg-9

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binary package System mirror sid from https://deb.debian.org/debian - 3 weeks, 5 days ago 0 minutes
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