Data related to Mottle: Accurate pairwise substitution distance at high divergence through the exploitation of short-read mappers and gradient descent.
Version 2 2024-02-05, 08:14Version 2 2024-02-05, 08:14
Version 1 2024-01-18, 10:50Version 1 2024-01-18, 10:50
dataset
posted on 2024-02-05, 08:14authored byThomas HowardThomas Howard, Neil Boonham, Adrian Fox, Alisa Prusokiene
The research paper describes a novel algorithm ("Mottle") for calculating nucleotide pairwise substitution distance at high divergence. The work is especially relevant for benchmarking bioinformatic tools that are designed to identify novel viruses from meta genomic datasets.
The files deposited here contain the underpinning data used to benchmark the comparator tools as well as Mottle in a series of performance tests.
Funding
This work has been supported by the BBSRC Newcastle-Liverpool-Durham DTP
(Doctoral Training Partnership) scheme (reference 2144113), with Fera Science Ltd. as
the CASE partner.