William Walters

Molecular Biology · 2010–2019

A researcher in the Science corpus: 22 papers; trusts 31 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom William Walters trusts overall

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

  1. Catherine A. Lozupone
  2. Rob Knight
  3. Micah Hamady
  4. J. Gregory Caporaso
  5. Peter J. Turnbaugh
  6. C. Lauber
  7. Noah Fierer
  8. Ruth E. Ley
  9. Qiong Wang
  10. Todd Z. DeSantis

Who trusts William Walters overall

  1. Noah Fierer
  2. K. N. Burns
  3. A. Comeau
  4. Nicholas A. Bokulich
  5. F. Magne
  6. A. Abdelfattah
  7. Orna Mizrahi-Man
  8. Qing‐Lin Chen
  9. Thomas S. B. Schmidt
  10. Omry Koren

Papers from William Walters's perspective

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

  1. SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB (Nucleic Acids Research)
  2. Short pyrosequencing reads suffice for accurate microbial community analysis (Nucleic Acids Research)
  3. Introducing DOTUR, a Computer Program for Defining Operational Taxonomic Units and Estimating Species Richness (Applied and Environmental Microbiology)
  4. Error-correcting barcoded primers for pyrosequencing hundreds of samples in multiplex (Nature Methods)
  5. A core gut microbiome in obese and lean twins (Nature)
  6. An obesity-associated gut microbiome with increased capacity for energy harvest (Nature)
  7. ARB: a software environment for sequence data. (Nucleic Acids Research)
  8. Naïve Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy (Applied and Environmental Microbiology)
  9. Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale (Applied and Environmental Microbiology)
  10. QIIME allows analysis of high-throughput community sequencing data (Nature Methods)

Their papers