Pierre Barbera
Pierre Barbera
Heidelberg Institute of Theoretical Studies
Verified email at h-its.org
Cited by
Cited by
EPA-ng: massively parallel evolutionary placement of genetic sequences
P Barbera, AM Kozlov, L Czech, B Morel, D Darriba, T Flouri, ...
Systematic biology 68 (2), 365-369, 2019
Retrofitting smartphones to be used as particulate matter dosimeters
M Budde, P Barbera, R El Masri, T Riedel, M Beigl
Proceedings of the 2013 International Symposium on Wearable Computers, 139-140, 2013
Methods for automatic reference trees and multilevel phylogenetic placement
L Czech, P Barbera, A Stamatakis
Bioinformatics 35 (7), 1151-1158, 2019
Genesis and Gappa: processing, analyzing and visualizing phylogenetic (placement) data
L Czech, P Barbera, A Stamatakis
Bioinformatics 36 (10), 3263-3265, 2020
Long‐read metabarcoding of the eukaryotic rDNA operon to phylogenetically and taxonomically resolve environmental diversity
M Jamy, R Foster, P Barbera, L Czech, A Kozlov, A Stamatakis, ...
Molecular Ecology Resources 20 (2), 429-443, 2020
Phylogenetic analysis of SARS-CoV-2 data is difficult
B Morel, P Barbera, L Czech, B Bettisworth, L Hübner, S Lutteropp, ...
bioRxiv, 2020
Petabase-scale sequence alignment catalyses viral discovery
RC Edgar, J Taylor, T Altman, P Barbera, D Meleshko, V Lin, D Lohr, ...
bioRxiv, 2020
SCRAPP: A tool to assess the diversity of microbial samples from phylogenetic placements
P Barbera, L Czech, S Lutterop, A Stamatakis
bioRxiv, 2020
Two Independent and Highly Efficient Open Source TKF91 Implementations
N Baudis, P Barbera, S Graf, S Lutteropp, D Opitz, T Flouri, A Stamatakis
BioRxiv, 033191, 2015
Scalable Computational Molecular Evolution Software & Data Analyses
A Stamatakis, A Kozlov, P Barbera
High Performance Computing, 231, 0
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