B. Baker

Molecular Biology · Nature Biotechnology · 2003–2020

A researcher in the Science corpus: 7 papers; trusts 2 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom B. Baker trusts overall

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

  1. Robert C. Edgar
  2. Susan M. Huse
  3. Daniel R. Zerbino
  4. Catherine A. Lozupone
  5. Morgan N. Price
  6. Qiong Wang
  7. Arthur P. Dempster
  8. Victor Kunin
  9. Mitchell L Sogin
  10. Elmar Pruesse

Who trusts B. Baker overall

  1. A. Kappler
  2. Z. Aydın
  3. K. Straub
  4. Jonathan Franks
  5. Ajit Paul Singh
  6. D. Berry
  7. K. Weber
  8. J. Bilmes

Papers from B. Baker's perspective

Ordered by how strongly the researchers B. Baker 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. Microbial diversity in the deep sea and the underexplored “rare biosphere” (Proceedings of the National Academy of Sciences of the United States of America)
  3. MUSCLE: multiple sequence alignment with high accuracy and high throughput.
  4. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
  5. Wrinkles in the rare biosphere: pyrosequencing errors can lead to artificial inflation of diversity estimates. (Environmental Microbiology)
  6. The Ribosomal Database Project: improved alignments and new tools for rRNA analysis
  7. Naïve Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy (Applied and Environmental Microbiology)
  8. Quantitative and Qualitative β Diversity Measures Lead to Different Insights into Factors That Structure Microbial Communities (Applied and Environmental Microbiology)
  9. Exploring Microbial Diversity and Taxonomy Using SSU rRNA Hypervariable Tag Sequencing (PLoS Genetics)
  10. Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample (Proceedings of the National Academy of Sciences of the United States of America)

Their papers