Vincent Miele
Vincent Miele
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Zitiert von
Zitiert von
Ultra-fast sequence clustering from similarity networks with SiLiX
V Miele, S Penel, L Duret
BMC bioinformatics 12 (1), 116, 2011
Statistical clustering of temporal networks through a dynamic stochastic block model
C Matias, V Miele
Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2017
DNA physical properties determine nucleosome occupancy from yeast to fly
V Miele, C Vaillant, Y d'Aubenton-Carafa, C Thermes, T Grange
Nucleic acids research 36 (11), 3746-3756, 2008
How structured is the entangled bank? The surprisingly simple organization of multiplex ecological networks leads to increased persistence and resilience
S Kéfi, V Miele, EA Wieters, SA Navarrete, EL Berlow
PLoS biology 14 (8), e1002527, 2016
Fast online graph clustering via Erdős–Rényi mixture
H Zanghi, C Ambroise, V Miele
Pattern recognition 41 (12), 3592-3599, 2008
Deciphering the connectivity structure of biological networks using MixNet
F Picard, V Miele, JJ Daudin, L Cottret, S Robin
BMC bioinformatics 10 (S6), S17, 2009
High-quality sequence clustering guided by network topology and multiple alignment likelihood
V Miele, S Penel, V Daubin, F Picard, D Kahn, L Duret
Bioinformatics 28 (8), 1078-1085, 2012
Strategies for online inference of model-based clustering in large and growing networks
H Zanghi, F Picard, V Miele, C Ambroise
The Annals of applied statistics 4 (2), 687-714, 2010
Ecological networks to unravel the routes to horizontal transposon transfers
S Venner, V Miele, C Terzian, C Biemont, V Daubin, C Feschotte, ...
PLoS biology 15 (2), e2001536, 2017
Fruiting strategies of perennial plants: a resource budget model to couple mast seeding to pollination efficiency and resource allocation strategies
S Venner, A Siberchicot, PF Pélisson, E Schermer, MC Bel-Venner, ...
The American Naturalist 188 (1), 66-75, 2016
DNA physical properties and nucleosome positions are major determinants of HIV-1 integrase selectivity
M Naughtin, Z Haftek-Terreau, J Xavier, S Meyer, M Silvain, ...
PLoS One 10 (6), e0129427, 2015
Spatially constrained clustering of ecological networks
V Miele, F Picard, S Dray
Methods in Ecology and Evolution 5 (8), 771-779, 2014
Global survey of mobile DNA horizontal transfer in arthropods reveals Lepidoptera as a prime hotspot
D Reiss, G Mialdea, V Miele, DM de Vienne, J Peccoud, C Gilbert, L Duret, ...
PLoS genetics 15 (2), e1007965, 2019
Revealing the hidden structure of dynamic ecological networks
V Miele, C Matias
Royal Society open science 4 (6), 170251, 2017
Diversity indices for ecological networks: a unifying framework using Hill numbers
M Ohlmann, V Miele, S Dray, L Chalmandrier, L O’Connor, W Thuiller
Ecology Letters, 2019
Playing hide and seek with repeats in local and global de novo transcriptome assembly of short RNA-seq reads
L Lima, B Sinaimeri, G Sacomoto, H Lopez-Maestre, C Marchet, V Miele, ...
Algorithms for molecular biology 12 (1), 1-19, 2017
seq++: analyzing biological sequences with a range of Markov-related models
V Miele, PY Bourguignon, D Robelin, G Nuel, H Richard
Bioinformatics 21 (11), 2783-2784, 2005
A reversible jump Markov chain Monte Carlo algorithm for bacterial promoter motifs discovery
P Nicolas, AS Tocquet, V Miele, F Muri
Journal of Computational Biology 13 (3), 651-667, 2006
Nine quick tips for analyzing network data
V Miele, C Matias, S Robin, S Dray
PLOS Computational Biology 15 (12), e1007434, 2019
Colib’read on galaxy: a tools suite dedicated to biological information extraction from raw NGS reads
Y Le Bras, O Collin, C Monjeaud, V Lacroix, É Rivals, C Lemaitre, V Miele, ...
GigaScience 5 (1), s13742-015-0105-2, 2016
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