Xing‐Xing Shen

Molecular Biology · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xing‐Xing Shen trusts overall

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

  1. Alexandros Stamatakis
  2. Siavash Mirarab
  3. Stéphane Guindon
  4. Erfan Sayyari
  5. Morgan N. Price
  6. Olga Chernomor
  7. Tandy J. Warnow
  8. Olivier Gascuel

Papers from Xing‐Xing Shen's perspective

Ordered by how strongly the researchers Xing‐Xing Shen 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. New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0.
  3. Evolutionary trees from DNA sequences: A maximum likelihood approach (Journal of Molecular Evolution)
  4. Inferring ancient divergences requires genes with strong phylogenetic signals (Nature)
  5. RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models
  6. INDELible: A Flexible Simulator of Biological Sequence Evolution
  7. FastTree 2 – Approximately Maximum-Likelihood Trees for Large Alignments (PLoS ONE)
  8. RAxML-III: a fast program for maximum likelihood-based inference of large phylogenetic trees (Bioinform.)
  9. A general empirical model of protein evolution derived from multiple protein families using a maximum-likelihood approach.
  10. IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies

Their papers