Christina Knyaz

Molecular biology and evolution · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Whom Christina Knyaz trusts overall

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

  1. Sudhir Kumar

Who trusts Christina Knyaz overall

  1. Koichiro Tamura
  2. Glen Stecher
  3. Sudhir Kumar

Papers from Christina Knyaz's perspective

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

  1. MEGA-CC: computing core of molecular evolutionary genetics analysis program for automated and iterative data analysis (Bioinform.)
  2. MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets. (Molecular biology and evolution)
  3. MEGA2: molecular evolutionary genetics analysis software (Bioinform.)
  4. RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models
  5. Incomplete taxon sampling is not a problem for phylogenetic inference (Proceedings of the National Academy of Sciences of the United States of America)
  6. Estimating the Dimension of a Model
  7. Molecular Evolution and Phylogenetics
  8. MEGA: A biologist-centric software for evolutionary analysis of DNA and protein sequences (Briefings Bioinform.)
  9. New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0.
  10. MUSCLE: a multiple sequence alignment method with reduced time and space complexity

Their papers