Daniel Peterson
Molecular Biology · with Kumar · 2011–2013
A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 14 citations into it; #2,884 of 17,773 by trust here, #1,510 by citations
- Genetics — 13 citations into it; #897 of 6,854 by trust here, #281 by citations
- Paleontology — 9 citations into it
Whom Daniel Peterson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sudhir Kumar
- Ardavan F. Oskooi
- Alexandros Stamatakis
- Koichiro Tamura
- Michael P. Cummings
- Stéphane Guindon
- Joseph Felsenstein
- Robert C. Edgar
- S. Blair Hedges
- David Posada
Who trusts Daniel Peterson overall
- Koichiro Tamura
- Sudhir Kumar
- Glen Stecher
- Erica T. Cline
- A. Yassin
- Marco Loog
- Asha J. Dissanayake
- Stelios Katsanevakis
- T. Shiozaki
- J. Zahniser
Papers from Daniel Peterson's perspective
Ordered by how strongly the researchers Daniel Peterson trusts endorse each paper. Same corpus, a different order for every researcher.
- A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. (Systematic Biology)
- New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0.
- Evolutionary trees from DNA sequences: A maximum likelihood approach (Journal of Molecular Evolution)
- RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models
- MUSCLE: a multiple sequence alignment method with reduced time and space complexity
- RAxML-III: a fast program for maximum likelihood-based inference of large phylogenetic trees (Bioinform.)
- Model selection and model averaging in phylogenetics: advantages of akaike information criterion and bayesian approaches over likelihood ratio tests. (Systematic Biology)
- Estimating the Dimension of a Model
- Incomplete taxon sampling is not a problem for phylogenetic inference (Proceedings of the National Academy of Sciences of the United States of America)
- Molecular Evolution and Phylogenetics
Their papers
- MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. (2011) — 41,194 citations
- MEGA6: Molecular Evolutionary Genetics Analysis version 6.0. (2013) — 40,628 citations
- MEGA-CC: computing core of molecular evolutionary genetics analysis program for automated and iterative data analysis (2012) — 349 citations