seq++: analyzing biological sequences with a range of Markov-related models. - Vincent Miele; Pierre-Yves Bourguignon; David Robelin; Grégory Nuel; Hugues Richard (Bioinform., 2005)

A Reversible Jump Markov Chain Monte Carlo Algorithm for Bacterial Promoter Motifs Discovery. - Pierre Nicolas; Anne-Sophie Tocquet; Vincent Miele; Florence Muri (J. Comput. Biol., 2006)

Fast online graph clustering via Erdös-Rényi mixture. - Hugo Zanghi; Christophe Ambroise; Vincent Miele (Pattern Recognit., 2008)

Deciphering the connectivity structure of biological networks using MixNet. - Franck Picard; Vincent Miele; Jean-Jacques Daudin; Ludovic Cottret; Stéphane Robin (BMC Bioinform., 2009)

Strategies for Online Inference of Model-Based Clustering in large Networks - Hugo Zanghi; Franck Picard; Vincent Miele; Christophe Ambroise (CoRR, 2009)

Ultra-fast sequence clustering from similarity networks with SiLiX. - Vincent Miele; Simon Penel; Laurent Duret (BMC Bioinform., 2011)

High-quality sequence clustering guided by network topology and multiple alignment likelihood. - Vincent Miele; Simon Penel; Vincent Daubin; Franck Picard; Daniel Kahn; Laurent Duret (Bioinform., 2012)

Fast and Parallel Algorithm for Population-Based Segmentation of Copy-Number Profiles. - Guillem Rigaill; Vincent Miele; Franck Picard (CIBB, 2013)

Navigating in a Sea of Repeats in RNA-seq without Drowning. - Gustavo Sacomoto; Blerina Sinaimeri; Camille Marchet; Vincent Miele; Marie-France Sagot; Vincent Lacroix (WABI, 2014)

Playing hide and seek with repeats in local and global de novo transcriptome assembly of short RNA-seq reads. - Leandro Lima; Blerina Sinaimeri; Gustavo Sacomoto; Hélène Lopez-Maestre; Camille Marchet; Vincent Miele; Marie-France Sagot; Vincent Lacroix (Algorithms Mol. Biol., 2017)

Non-trophic interactions strengthen the diversity - functioning relationship in an ecological bioenergetic network model. - Vincent Miele; Christian Guill; Rodrigo Ramos-Jiliberto; Sonia Kéfi (PLoS Comput. Biol., 2019)

Nine quick tips for analyzing network data. - Vincent Miele; Catherine Matias; Stéphane Robin; Stéphane Dray (PLoS Comput. Biol., 2019)

Nine tips for ecologists using machine learning. - Marine Desprez; Vincent Miele; Olivier Gimenez (CoRR, 2023)