Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Lukas Hübner"'
Publikováno v:
High Performance Computing in Science and Engineering '21 ISBN: 9783031179365
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2eb0187114f4f3fa398a41f7f0a1111
https://doi.org/10.1007/978-3-031-17937-2_27
https://doi.org/10.1007/978-3-031-17937-2_27
Publikováno v:
Bioinformatics, 37 (22), 4056–4063
Motivation Phylogenetic trees are now routinely inferred on large scale high performance computing systems with thousands of cores as the parallel scalability of phylogenetic inference tools has improved over the past years to cope with the molecular
Data Distribution for Phylogenetic Inference with Site Repeats via Judicious Hypergraph Partitioning
Autor:
Adrian Zapletal, Benoit Morel, Ivo Baar, Sebastian Schlag, Alexandros Stamatakis, Lukas Hübner, Peter Oettig
Publikováno v:
IPDPS Workshops
The so-called site repeats (SR) technique can be used to accelerate the widely-used phylogenetic likelihood function (PLF) by identifying identical patterns among multiple sequence alignment (MSA) sites, thereby omitting redundant calculations and sa
Autor:
Evangelia Georgia Kostaki, Sarah Lutteropp, Dora Serdari, Alexandros Stamatakis, Dimitrios Paraskevis, Alexey M. Kozlov, Pavlos Pavlidis, Lucas Czech, Ben Bettisworth, Lukas Hübner, Pierre Barbera, Ioannis Mamais, Benoit Morel
Publikováno v:
Molecular Biology and Evolution
Molecular biology and evolution, 38 (5), 1777-1791
Molecular biology and evolution, 38 (5), 1777-1791
Numerous studies covering some aspects of SARS-CoV-2 data analyses are being published on a daily basis, including a regularly updated phylogeny on nextstrain.org. Here, we review the difficulties of inferring reliable phylogenies by example of a dat