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
BESST is written in Python and is available on Kristoffer's GitHub repository
. See the file
for access instructions. The easiest way to install BESST is, however, probably to use
sudo pip install BESST
sudo easy_install BESST
Please cite the following manuscripts!
- Sahlin, Street, Lundeberg, Arvestad; Improved gap size estimation for scaffolding algorithms; Bioinformatics, 2012.
- Sahlin, Vezzi, Nystedt, Lundeberg, Arvestad; BESST-efficient scaffolding of large fragmented assemblies; BMC Bioinformatics, 2014.
- Sahlin, Chikhi, Arvestad; Assembly scaffolding with PE-contaminated mate-pair libraries; Bioinformatics, 2016.