Nicolas Lartillot
Molecular Biology · 2004–2013
A researcher in the Science corpus: 6 papers; trusts 37 researchers and is trusted by 43 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 44 citations into it; #1,852 of 17,773 by trust here, #6,609 by citations
- Genetics — 41 citations into it; #572 of 6,854 by trust here, #2,063 by citations
- Artificial Intelligence — 23 citations into it; #6,048 of 35,345 by trust here, #11,327 by citations
- Paleontology — 17 citations into it; #139 of 1,427 by trust here, #533 by citations
- Statistics and Probability — 16 citations into it
- Plant Science — 9 citations into it
- Political Science and International Relations — 5 citations into it
- Probabilistic & Bayesian Methods — 5 citations into it
Whom Nicolas Lartillot trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- John P. Huelsenbeck
- Radford M. Neal
- Mark Pagel
- Simon Whelan
- Peter J. Green
- J. Castresana
- Hervé Philippe
- Donald B. Rubin
- Fredrik Ronquist
- Marc A. Suchard
Who trusts Nicolas Lartillot overall
- Hervé Philippe
- Si Quang Le
- Guy Baele
- Philippe Lemey
- H. Brinkmann
- Olivier Gascuel
- Peter Beerli
- Marc A. Suchard
- Remco R. Bouckaert
- Yingqi Liu
Papers from Nicolas Lartillot's perspective
Ordered by how strongly the researchers Nicolas Lartillot trusts endorse each paper. Same corpus, a different order for every researcher.
- Estimating the Dimension of a Model
- Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
- PAUP* Phylogenetic analysis using parsimony (*and other methods) Version 4
- A general empirical model of protein evolution derived from multiple protein families using a maximum-likelihood approach.
- Bayesian selection of continuous-time Markov chain evolutionary models. (Molecular biology and evolution)
- MrBayes 3: Bayesian phylogenetic inference under mixed models (Bioinform.)
- CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice.
- Bayesian phylogenetic analysis of combined data. (Systematic Biology)
- The rapid generation of mutation data matrices from protein sequences
- Bayesian phylogenetic model selection using reversible jump Markov chain Monte Carlo. (Molecular biology and evolution)
Their papers
- Computing Bayes factors using thermodynamic integration. (2006) — 677 citations
- PhyloBayes MPI: phylogenetic reconstruction with infinite mixtures of profiles in a parallel environment. (2013) — 809 citations
- Detecting and overcoming systematic errors in genome-scale phylogenies. (2007) — 295 citations
- A Bayesian mixture model for across-site heterogeneities in the amino-acid replacement process. (2004) — 1,485 citations
- Empirical profile mixture models for phylogenetic reconstruction (2008) — 362 citations
- Suppression of long-branch attraction artefacts in the animal phylogeny using a site-heterogeneous model (2007) — 595 citations