Daniel McDonald

Molecular Biology · 2010–2023

A researcher in the Science corpus: 25 papers; trusts 14 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel McDonald trusts overall

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

  1. Catherine A. Lozupone
  2. Rob Knight
  3. Todd Z. DeSantis
  4. Morgan N. Price
  5. Marti J. Anderson
  6. Qiong Wang
  7. Travis C. Glenn
  8. J. Gregory Caporaso
  9. Micah Hamady
  10. James R. Cole

Who trusts Daniel McDonald overall

  1. Omry Koren
  2. Julia Goodrich
  3. Nicholas A. Bokulich
  4. Rob Knight
  5. K. N. Burns
  6. Donovan H. Parks
  7. Monika Balvociute
  8. Paul J. McMurdie
  9. Cameron Martino
  10. Hayssam Soueidan

Papers from Daniel McDonald's perspective

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

  1. ARB: a software environment for sequence data. (Nucleic Acids Research)
  2. Greengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB (Applied and Environmental Microbiology)
  3. UniFrac: a New Phylogenetic Method for Comparing Microbial Communities (Applied and Environmental Microbiology)
  4. SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB (Nucleic Acids Research)
  5. Introducing DOTUR, a Computer Program for Defining Operational Taxonomic Units and Estimating Species Richness (Applied and Environmental Microbiology)
  6. FastTree 2 – Approximately Maximum-Likelihood Trees for Large Alignments (PLoS ONE)
  7. A core gut microbiome in obese and lean twins (Nature)
  8. QIIME allows analysis of high-throughput community sequencing data (Nature Methods)
  9. Accurate taxonomy assignments from 16S rRNA sequences produced by highly parallel pyrosequencers (Nucleic Acids Research)
  10. Short pyrosequencing reads suffice for accurate microbial community analysis (Nucleic Acids Research)

Their papers