Elmar Pruesse

Molecular Biology · 2007–2019

A researcher in the Science corpus: 11 papers; trusts 4 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Elmar Pruesse trusts overall

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

  1. Patrick D. Schloss
  2. Todd Z. DeSantis
  3. James R. Cole
  4. Wolfgang Ludwig
  5. Philip Hugenholtz
  6. Julie Dawn Thompson
  7. Robert C. Edgar
  8. Russell F. Doolittle
  9. Tao Jiang
  10. Benli Chai

Who trusts Elmar Pruesse overall

  1. Patrick D. Schloss
  2. Les Dethlefsen
  3. Monika Balvociute
  4. M. Lynch
  5. Ximei Zhang
  6. Daniel H. Huson
  7. Frank Oliver Glöckner
  8. Karthik Anantharaman
  9. Susan M. Huse
  10. Paul J. McMurdie

Papers from Elmar Pruesse's perspective

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

  1. Microbial diversity in the deep sea and the underexplored “rare biosphere” (Proceedings of the National Academy of Sciences of the United States of America)
  2. SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB (Nucleic Acids Research)
  3. The Ribosomal Database Project: improved alignments and new tools for rRNA analysis
  4. Basic local alignment search tool.
  5. Greengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB (Applied and Environmental Microbiology)
  6. The Ribosomal Database Project (RDP-II): sequences and tools for high-throughput rRNA analysis (Nucleic Acids Res.)
  7. The ribosomal database project (RDP-II): introducing myRDP space and quality controlled public data (Nucleic Acids Res.)
  8. Naïve Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy (Applied and Environmental Microbiology)
  9. ARB: a software environment for sequence data. (Nucleic Acids Research)
  10. NAST: a multiple sequence alignment server for comparative analysis of 16S rRNA genes (Nucleic Acids Res.)

Their papers