Todd Z. DeSantis

Molecular Biology · 2006–2023

A researcher in the Science corpus: 18 papers; trusts 16 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

Whom Todd Z. DeSantis trusts overall

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

  1. Philip Hugenholtz
  2. James R. Cole
  3. Sudhir Kumar
  4. Julie Dawn Thompson
  5. Stephen F. Altschul
  6. Patrick D. Schloss
  7. Wolfgang Ludwig
  8. Qiong Wang
  9. Koichiro Tamura
  10. Catherine A. Lozupone

Who trusts Todd Z. DeSantis overall

  1. C. Lauber
  2. Patrick D. Schloss
  3. Micah Hamady
  4. Noah Fierer
  5. Rob Knight
  6. J. Gregory Caporaso
  7. Robert C. Edgar
  8. Morgan N. Price
  9. Zongzhi Z. Liu
  10. K. N. Burns

Papers from Todd Z. DeSantis's perspective

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

  1. ARB: a software environment for sequence data. (Nucleic Acids Research)
  2. CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice.
  3. Introducing DOTUR, a Computer Program for Defining Operational Taxonomic Units and Estimating Species Richness (Applied and Environmental Microbiology)
  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. At Least 1 in 20 16S rRNA Sequence Records Currently Held in Public Repositories Is Estimated To Contain Substantial Anomalies (Applied and Environmental Microbiology)
  6. The Ribosomal Database Project (RDP-II): sequences and tools for high-throughput rRNA analysis (Nucleic Acids Res.)
  7. UniFrac: a New Phylogenetic Method for Comparing Microbial Communities (Applied and Environmental Microbiology)
  8. SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB (Nucleic Acids Research)
  9. The Ribosomal Database Project: improved alignments and new tools for rRNA analysis
  10. Accurate taxonomy assignments from 16S rRNA sequences produced by highly parallel pyrosequencers (Nucleic Acids Research)

Their papers