Glen Stecher

Molecular Biology · 2011–2024

A researcher in the Science corpus: 10 papers; trusts 21 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Glen Stecher trusts overall

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

  1. Sudhir Kumar
  2. Koichiro Tamura
  3. Daniel Peterson
  4. Ardavan F. Oskooi
  5. Robert C. Edgar
  6. Masatoshi Nei
  7. S. Blair Hedges
  8. Alexandros Stamatakis
  9. Michael P. Cummings
  10. Fabia Ursula Battistuzzi

Who trusts Glen Stecher overall

  1. Koichiro Tamura
  2. Sudhir Kumar
  3. Asha J. Dissanayake
  4. Stelios Katsanevakis
  5. Yuxing Deng
  6. Fei Chen
  7. M. Miya
  8. Dan-Dan Zhang
  9. J. Patel
  10. S. Asaf

Papers from Glen Stecher's perspective

Ordered by how strongly the researchers Glen Stecher 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. MUSCLE: a multiple sequence alignment method with reduced time and space complexity
  3. RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models
  4. RAxML-III: a fast program for maximum likelihood-based inference of large phylogenetic trees (Bioinform.)
  5. MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. (Molecular biology and evolution)
  6. Evolutionary trees from DNA sequences: A maximum likelihood approach (Journal of Molecular Evolution)
  7. Molecular Evolution and Phylogenetics
  8. New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0.
  9. Incomplete taxon sampling is not a problem for phylogenetic inference (Proceedings of the National Academy of Sciences of the United States of America)
  10. Estimating divergence times in large molecular phylogenies (Proceedings of the National Academy of Sciences of the United States of America)

Their papers