Version 1.0.0
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.