Alix Boc

Molecular Biology · 2012

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Alix Boc trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Stéphane Guindon
  2. Simon Whelan
  3. Daniel H. Huson
  4. Alexandros Stamatakis
  5. Cuong V. Than
  6. Olivier Gascuel
  7. David Bryant
  8. Nick Goldman
  9. Paul Hoover
  10. Derek A. Ruths

Who trusts Alix Boc overall

  1. Alexander Suh
  2. Frédéric Lemoine
  3. Huangkai Zhang
  4. F. Dagosta
  5. Damien Correia

Papers from Alix Boc's perspective

Ordered by how strongly the researchers Alix Boc trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. (Systematic Biology)
  2. A general empirical model of protein evolution derived from multiple protein families using a maximum-likelihood approach.
  3. A rapid bootstrap algorithm for the RAxML Web servers. (Systematic Biology)
  4. Application of phylogenetic networks in evolutionary studies. (Molecular biology and evolution)
  5. New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0.
  6. PhyloNet: a software package for analyzing and reconstructing reticulate evolutionary relationships (BMC Bioinformatics)
  7. Prokaryotic evolution in light of gene transfer. (Molecular biology and evolution)
  8. MrBayes 3: Bayesian phylogenetic inference under mixed models (Bioinform.)
  9. T-Coffee: A novel method for fast and accurate multiple sequence alignment.
  10. Genetic algorithm approaches for the phylogenetic analysis of large biological sequence datasets under the maximum likelihood criterion

Their papers