E. Bik

Molecular Biology · 2005–2010

A researcher in the Science corpus: 6 papers; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom E. Bik trusts overall

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

  1. Patrick D. Schloss
  2. Les Dethlefsen
  3. Catherine A. Lozupone
  4. Philip Hugenholtz
  5. Susan M. Huse
  6. L. Hooper
  7. Jo Handelsman
  8. Micah Hamady
  9. Ruth E. Ley
  10. Jeffrey I. Gordon

Who trusts E. Bik overall

  1. J. Walter
  2. I. Sekirov
  3. M. Rajilić-Stojanović
  4. Patrick D. Schloss
  5. Elizabeth A. Grice
  6. Micah Hamady
  7. Peter J. Turnbaugh
  8. Ruth E. Ley
  9. Martin J. Blaser
  10. Rob Knight

Papers from E. Bik's perspective

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

  1. ARB: a software environment for sequence data. (Nucleic Acids Research)
  2. Introducing DOTUR, a Computer Program for Defining Operational Taxonomic Units and Estimating Species Richness (Applied and Environmental Microbiology)
  3. Greengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB (Applied and Environmental Microbiology)
  4. Obesity alters gut microbial ecology. (Proceedings of the National Academy of Sciences of the United States of America)
  5. Counting the Uncountable: Statistical Approaches to Estimating Microbial Diversity (Applied and Environmental Microbiology)
  6. UniFrac – An online tool for comparing microbial community diversity in a phylogenetic context (BMC Bioinformatics)
  7. Ecological and evolutionary forces shaping microbial diversity in the human intestine. (Cell)
  8. Exploring prokaryotic diversity in the genomic era (Genome Biology)
  9. Introducing mothur: Open-Source, Platform-Independent, Community-Supported Software for Describing and Comparing Microbial Communities (Applied and Environmental Microbiology)
  10. Exploring Microbial Diversity and Taxonomy Using SSU rRNA Hypervariable Tag Sequencing (PLoS Genetics)

Their papers