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Version 1.0.0

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@alneberg alneberg released this 12 Dec 15:55
· 71 commits to master since this release
a46214d

Improved Speed

  • Improved parallelism using OpenMP allowing efficient scaling to a large number of parallel threads
  • By only running one instead of ten iterations of the same algorithm, speed is improved drastically.

As an example: A test run on real data resulted in a 22x speed up on a 20 core computer, from 15hours 28min to 42min.

Improved usability

  • Now runs on both Python 2 and Python 3. - Please beware that the performance on Python 3 is slightly faster than python 2.
  • Installation through conda is now supported: conda install concoct
  • A new step concoct_refine is introduced where one can rerun the concoct algorithm on seemingly merged clusters.
  • Possible to run without rerunning mapping against cut up contigs. This improves the compatibility of concoct against other existing binning software.