Frederick Albert Matsen IV
Molecular Biology · 2010–2019
A researcher in the Science corpus: 4 papers; trusts 17 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 78 citations into it; #4,811 of 17,773 by trust here, #5,764 by citations
- Ecology — 36 citations into it; #8,516 of 10,717 by trust here, #6,853 by citations
- Genetics — 18 citations into it
- Artificial Intelligence — 15 citations into it
- Paleontology — 7 citations into it; #516 of 1,427 by trust here, #307 by citations
- Computational Biology & Bioinformatics — 6 citations into it
Whom Frederick Albert Matsen IV trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sean R. Eddy
- John P. Huelsenbeck
- Elaine R. Mardis
- Martin Wu
- Alexandros Stamatakis
- Fredrik Ronquist
- Stéphane Guindon
- Olivier Gascuel
- Stephen F. Altschul
- Simon Whelan
Who trusts Frederick Albert Matsen IV overall
- Ivica Letunic
- Simon A. Berger
- Kazutaka Katoh
- Peer Bork
- Ari Löytynoja
- K. Goodwin
- Alexandros Stamatakis
- Hayssam Soueidan
- Todd J. Treangen
- K. Vergin
Papers from Frederick Albert Matsen IV's perspective
Ordered by how strongly the researchers Frederick Albert Matsen IV trusts endorse each paper. Same corpus, a different order for every researcher.
- A general empirical model of protein evolution derived from multiple protein families using a maximum-likelihood approach.
- A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. (Systematic Biology)
- Basic local alignment search tool.
- Evolutionary trees from DNA sequences: A maximum likelihood approach (Journal of Molecular Evolution)
- MRBAYES: Bayesian inference of phylogenetic trees (Bioinform.)
- The Ribosomal Database Project: improved alignments and new tools for rRNA analysis
- Comparative Metagenomics of Microbial Communities (Science)
- Community structure and metabolism through reconstruction of microbial genomes from the environment (Nature)
- Genetic algorithm approaches for the phylogenetic analysis of large biological sequence datasets under the maximum likelihood criterion
- Naïve Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy (Applied and Environmental Microbiology)
Their papers
- pplacer: linear time maximum-likelihood and Bayesian phylogenetic placement of sequences onto a fixed reference tree (2010) — 1,025 citations
- PhyloSift: phylogenetic analysis of genomes and metagenomes (2014) — 575 citations
- Bacterial Communities in Women with Bacterial Vaginosis: High Resolution Phylogenetic Analyses Reveal Relationships of Microbiota to Clinical Criteria (2012) — 653 citations
- Deep generative models for T cell receptor protein sequences (2019) — 68 citations