E. Costello

Molecular Biology · Proceedings of the National Academy of Sciences of the United States of America · 2009–2015

A researcher in the Science corpus: 10 papers; trusts 15 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

Whom E. Costello trusts overall

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

  1. Catherine A. Lozupone
  2. Micah Hamady
  3. Noah Fierer
  4. Rob Knight
  5. Trevor J. Hastie
  6. C. Lauber
  7. Todd Z. DeSantis
  8. Peter J. Turnbaugh
  9. Les Dethlefsen
  10. Hui Zou

Who trusts E. Costello overall

  1. Rob Knight
  2. Omry Koren
  3. Patrick D. Schloss
  4. Noah Fierer
  5. L. Ursell
  6. J. Gregory Caporaso
  7. E. Sonnenburg
  8. Julia Goodrich
  9. C. Lauber
  10. Nicola Segata

Papers from E. Costello's perspective

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

  1. UniFrac: a New Phylogenetic Method for Comparing Microbial Communities (Applied and Environmental Microbiology)
  2. Greengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB (Applied and Environmental Microbiology)
  3. Short pyrosequencing reads suffice for accurate microbial community analysis (Nucleic Acids Research)
  4. Worlds within worlds: evolution of the vertebrate gut microbiota (Nature Reviews Microbiology)
  5. NAST: a multiple sequence alignment server for comparative analysis of 16S rRNA genes (Nucleic Acids Res.)
  6. ARB: a software environment for sequence data. (Nucleic Acids Research)
  7. Fast UniFrac: Facilitating high-throughput phylogenetic analyses of microbial communities including analysis of pyrosequencing and PhyloChip data (The ISME Journal)
  8. Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale (Applied and Environmental Microbiology)
  9. Random Forests
  10. UniFrac – An online tool for comparing microbial community diversity in a phylogenetic context (BMC Bioinformatics)

Their papers