F. Pilarski

2015–2018

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom F. Pilarski trusts

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

  1. J. Janda (in Molecular Biology)
  2. S. Abbott (in Molecular Biology)

Papers from F. Pilarski's perspective

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

  1. 16S rRNA Gene Sequencing for Bacterial Identification in the Diagnostic Laboratory: Pluses, Perils, and Pitfalls (Journal of Clinical Microbiology)
  2. MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. (Molecular biology and evolution)
  3. RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models
  4. Incomplete taxon sampling is not a problem for phylogenetic inference (Proceedings of the National Academy of Sciences of the United States of America)
  5. Estimating the Dimension of a Model
  6. Molecular Evolution and Phylogenetics
  7. MEGA: A biologist-centric software for evolutionary analysis of DNA and protein sequences (Briefings Bioinform.)
  8. New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0.
  9. MUSCLE: a multiple sequence alignment method with reduced time and space complexity
  10. A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. (Systematic Biology)

Their papers