School of
Electrical Engineering
and Computer Science

The BESST scaffolder

Created by Kristoffer Sahlin, the BESST scaffolder builds on an unbiased model for estimating the distance between two contigs using information about the paired-end or mate-pair library used for scaffolding.


BESST is written in Python and is available on Kristoffer's GitHub repository. See the file docs/ for access instructions. The easiest way to install BESST is, however, probably to use pip or easy_install:
  sudo pip install BESST
  sudo easy_install BESST


Please cite the following manuscripts!
Published by: Lars Arvestad <>
Updated 2016-12-12