Julia Goodrich

Molecular Biology · 2010–2016

A researcher in the Science corpus: 9 papers; trusts 8 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Julia Goodrich trusts overall

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

  1. Peter J. Turnbaugh
  2. Rob Knight
  3. Ruth E. Ley
  4. J. Gregory Caporaso
  5. Omry Koren
  6. Catherine A. Lozupone
  7. Morgan N. Price
  8. Daniel McDonald
  9. Nicholas A. Bokulich
  10. Dan Knights

Who trusts Julia Goodrich overall

  1. Zahraa Al Bander
  2. Wenke Smets
  3. Omry Koren
  4. Rob Knight
  5. Nicholas A. Bokulich
  6. Ta-Chiang Liu
  7. K. N. Burns
  8. Emily R. Davenport

Papers from Julia Goodrich's perspective

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

  1. Greengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB (Applied and Environmental Microbiology)
  2. UniFrac: a New Phylogenetic Method for Comparing Microbial Communities (Applied and Environmental Microbiology)
  3. SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB (Nucleic Acids Research)
  4. Naïve Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy (Applied and Environmental Microbiology)
  5. QIIME allows analysis of high-throughput community sequencing data (Nature Methods)
  6. ARB: a software environment for sequence data. (Nucleic Acids Research)
  7. An obesity-associated gut microbiome with increased capacity for energy harvest (Nature)
  8. Introducing DOTUR, a Computer Program for Defining Operational Taxonomic Units and Estimating Species Richness (Applied and Environmental Microbiology)
  9. The Effect of Diet on the Human Gut Microbiome: A Metagenomic Analysis in Humanized Gnotobiotic Mice (Science Translational Medicine)
  10. FastTree 2 – Approximately Maximum-Likelihood Trees for Large Alignments (PLoS ONE)

Their papers