Frank Oliver Glöckner

Molecular Biology · 2000–2018

A researcher in the Science corpus: 20 papers; trusts 8 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

Whom Frank Oliver Glöckner trusts overall

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

  1. Elmar Pruesse
  2. Patrick D. Schloss
  3. Alexandros Stamatakis
  4. Eric P. Nawrocki
  5. Christopher J. Lee
  6. Sudhir Kumar
  7. James R. Cole
  8. Daniel H. Huson
  9. Pablo Yarza
  10. Todd Z. DeSantis

Who trusts Frank Oliver Glöckner overall

  1. David L. Kirchman
  2. J. Darling
  3. Catherine A. Lozupone
  4. M. Salcher
  5. Monika Balvociute
  6. M. Blum
  7. A. Dittel
  8. M. Lynch
  9. Patrick D. Schloss
  10. B. Crump

Papers from Frank Oliver Glöckner's perspective

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

  1. Basic local alignment search tool.
  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. Microbial diversity in the deep sea and the underexplored “rare biosphere” (Proceedings of the National Academy of Sciences of the United States of America)
  5. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
  6. Naïve Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy (Applied and Environmental Microbiology)
  7. Greengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB (Applied and Environmental Microbiology)
  8. MUSCLE: a multiple sequence alignment method with reduced time and space complexity
  9. The ribosomal database project (RDP-II): introducing myRDP space and quality controlled public data (Nucleic Acids Res.)
  10. The SILVA ribosomal RNA gene database project: improved data processing and web-based tools (Nucleic Acids Res.)

Their papers