Aine O'Toole & Verity Hill
Rambaut Group
Edinburgh University
Ben Jackson gofasta
JT McCrone clusterfunk
Stefan Rooke local map
Andrew Rambaut jclusterfunk
ARTIC Network
Wellcome Trust Collaborators Award
206298/Z/17/Z
COVID-19 Genomics UK Consortium
UK Department of Health and Social Care
UK Research and Innovation
ReservoirDOCs
European Research Council Consolidator Grant
ERC-2016-COG
We thank the following for helpful suggestions,
comments, beta-testing, feature requests and
patience.
:nickloman: :mattloose:
:mattbashton: :tomconnor:
:rebeccadewar: :martinmchugh:
:richardmyers: :meerachand:
:samnicholls: :radpoplawski:
:davidaanensen: :benlindsey:
:jeffbarrett: :derekfairley:
:josephhughes: :davidrobertson:
:richardorton: :mattholden:
:ulfschaefer: :nataliegroves:
:nikosmanesis: :jaynaraghwani:
We acknowledge the hard work from all members of the
COG-UK consortium that has gone into generating the
data used by `civet`.
We acknowledge the hard work and open-science of the
individual research labs and public health bodies
that have made their genome data accessible on GISAID.
A detailed table of acknowledgements for the SARS-CoV-2
genome sequences used to build this lineage system is
hosted [here](https://github.com/cov-ert/clusterfunk))
Gytic Dudas
Heng Li, Minimap2: pairwise alignment for nucleotide sequences, Bioinformatics, Volume 34, Issue 18, 15 September 2018, Pages 3094–3100, https://doi.org/10.1093/bioinformatics/bty191
L.-T. Nguyen, H.A. Schmidt, A. von Haeseler, B.Q. Minh (2015) IQ-TREE: A fast and effective stochastic algorithm for estimating maximum likelihood phylogenies.. Mol. Biol. Evol., 32:268-274. https://doi.org/10.1093/molbev/msu300
D.T. Hoang, O. Chernomor, A. von Haeseler, B.Q. Minh, L.S. Vinh (2018) UFBoot2: Improving the ultrafast bootstrap approximation. Mol. Biol. Evol., 35:518–522. https://doi.org/10.1093/molbev/msx281
Stéphane Guindon, Jean-François Dufayard, Vincent Lefort, Maria Anisimova, Wim Hordijk, Olivier Gascuel, New Algorithms and Methods to Estimate Maximum-Likelihood Phylogenies: Assessing the Performance of PhyML 3.0, Systematic Biology, Volume 59, Issue 3, May 2010, Pages 307–321, https://doi.org/10.1093/sysbio/syq010
Köster, Johannes and Rahmann, Sven. “Snakemake - A scalable bioinformatics workflow engine”. Bioinformatics 2012.
- python=3.6
- snakemake-minimal=5.13
- iqtree=1.6.12
- minimap2=2.17-r941
- pandas==1.1.0
- pytools=2020.1
- dendropy=4.4.0
- tabulate=0.8.7