Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Philippe Lemey and Andrew Rambaut.
Connection Strength

1.328
  1. Accommodating individual travel history and unsampled diversity in Bayesian phylogeographic inference of SARS-CoV-2. Nat Commun. 2020 10 09; 11(1):5110.
    View in: PubMed
    Score: 0.227
  2. The emergence of SARS-CoV-2 in Europe and North America. Science. 2020 10 30; 370(6516):564-570.
    View in: PubMed
    Score: 0.226
  3. Phylodynamic assessment of intervention strategies for the West African Ebola virus outbreak. Nat Commun. 2018 06 08; 9(1):2222.
    View in: PubMed
    Score: 0.193
  4. Bayesian phylogenetic and phylodynamic data integration using BEAST 1.10. Virus Evol. 2018 Jan; 4(1):vey016.
    View in: PubMed
    Score: 0.193
  5. Emerging Concepts of Data Integration in Pathogen Phylodynamics. Syst Biol. 2017 01 01; 66(1):e47-e65.
    View in: PubMed
    Score: 0.175
  6. Genomics and epidemiology of the P.1 SARS-CoV-2 lineage in Manaus, Brazil. Science. 2021 05 21; 372(6544):815-821.
    View in: PubMed
    Score: 0.059
  7. Temporal signal and the phylodynamic threshold of SARS-CoV-2. Virus Evol. 2020 Jul; 6(2):veaa061.
    View in: PubMed
    Score: 0.056
  8. Evolutionary origins of the SARS-CoV-2 sarbecovirus lineage responsible for the COVID-19 pandemic. Nat Microbiol. 2020 11; 5(11):1408-1417.
    View in: PubMed
    Score: 0.056
  9. Evolution and epidemic spread of SARS-CoV-2 in Brazil. Science. 2020 09 04; 369(6508):1255-1260.
    View in: PubMed
    Score: 0.056
  10. Adaptive MCMC in Bayesian phylogenetics: an application to analyzing partitioned data in BEAST. Bioinformatics. 2017 Jun 15; 33(12):1798-1805.
    View in: PubMed
    Score: 0.045
  11. Bayesian nonparametric clustering in phylogenetics: modeling antigenic evolution in influenza. Stat Med. 2018 Jan 30; 37(2):195-206.
    View in: PubMed
    Score: 0.044
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.