E. Pilgrim

Genetics · with Battle · 2008–2014

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom E. Pilgrim trusts overall

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

  1. Michael P. Cummings
  2. Michael J. Sanderson
  3. P. Eggleton
  4. John P. Huelsenbeck
  5. Mark Pagel
  6. Hirohisa Kishino
  7. Julie Dawn Thompson
  8. Yoshiyuki Suzuki
  9. Alexandros Stamatakis
  10. Fredrik Ronquist

Who trusts E. Pilgrim overall

  1. Andrew H. Debevec
  2. B. Boudinot
  3. S. Cardinal
  4. Urt M. Pickett

Papers from E. Pilgrim's perspective

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

  1. PAUP* Phylogenetic analysis using parsimony (*and other methods) Version 4
  2. CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice.
  3. Bayesian Inference of Phylogeny and Its Impact on Evolutionary Biology (Science)
  4. MrBayes 3: Bayesian phylogenetic inference under mixed models (Bioinform.)
  5. Overcredibility of molecular phylogenies obtained by Bayesian phylogenetics (Proceedings of the National Academy of Sciences of the United States of America)
  6. A new method for calculating evolutionary substitution rates (Journal of Molecular Evolution)
  7. Performance of a divergence time estimation method under a probabilistic model of rate evolution. (Molecular biology and evolution)
  8. R8s: Inferring Absolute Rates of Molecular Evolution, Divergence times in the Absence of a Molecular Clock (Bioinform.)
  9. Bayes or bootstrap? A simulation study comparing the performance of Bayesian Markov chain Monte Carlo sampling and bootstrapping in assessing phylogenetic confidence. (Molecular biology and evolution)
  10. A phylogenetic mixture model for detecting pattern-heterogeneity in gene sequence or character-state data. (Systematic Biology)

Their papers