Michael J. Moore

Molecular Biology · 2007–2019

A researcher in the Science corpus: 7 papers; trusts 10 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Michael J. Moore trusts overall

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

  1. D. Soltis
  2. Michael P. Cummings
  3. Hidetoshi Shimodaira
  4. Pamela S. Soltis
  5. S. Magallón
  6. Alexandros Stamatakis
  7. S. Kelchner
  8. Tracy A. Heath
  9. Sergei L. Kosakovsky Pond
  10. Robert K. Jansen

Who trusts Michael J. Moore overall

  1. J. Doyle
  2. S. Carlquist
  3. Mark W. Chase
  4. Y. Qiu
  5. Lei Gao
  6. P. K. Endress
  7. D. Soltis
  8. Pamela S. Soltis
  9. J. L. Reveal
  10. Kate L. Hertweck

Papers from Michael J. Moore's perspective

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

  1. MRBAYES: Bayesian inference of phylogenetic trees (Bioinform.)
  2. Evolutionary trees from DNA sequences: A maximum likelihood approach (Journal of Molecular Evolution)
  3. Performance of maximum parsimony and likelihood phylogenetics when evolution is heterogeneous (Nature)
  4. Evolution of the angiosperms: calibrating the family tree (Proceedings of the Royal Society of London. Series B: Biological Sciences)
  5. Analysis of 81 genes from 64 plastid genomes resolves relationships in angiosperms and identifies genome-scale evolutionary patterns (Proceedings of the National Academy of Sciences of the United States of America)
  6. Genetic algorithm approaches for the phylogenetic analysis of large biological sequence datasets under the maximum likelihood criterion
  7. The Evolution of Non-Coding Chloroplast DNA and Its Application in Plant Systematics
  8. An approximately unbiased test of phylogenetic tree selection. (Systematic Biology)
  9. The CLUSTAL_X windows interface: flexible strategies for multiple sequence alignment aided by quality analysis tools.
  10. HyPhy: hypothesis testing using phylogenies (Bioinform.)

Their papers