Diana E. Northup

Molecular Biology · 2000–2011

A researcher in the Science corpus: 6 papers; trusts 4 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Diana E. Northup trusts overall

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

  1. Patrick D. Schloss
  2. Jo Handelsman
  3. Stéphane Guindon
  4. David Posada
  5. Kazutaka Katoh
  6. D. Singleton
  7. Todd Z. DeSantis
  8. Olivier Gascuel
  9. T. Buckley
  10. Annette Summers Engel

Who trusts Diana E. Northup overall

  1. Hazel A. Barton
  2. A. Nováková
  3. Annette Summers Engel
  4. Karolina Tomczyk-Żak
  5. J. Mulec
  6. Marisa K. Chelius
  7. A. Romero

Papers from Diana E. Northup's perspective

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

  1. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
  2. Introducing DOTUR, a Computer Program for Defining Operational Taxonomic Units and Estimating Species Richness (Applied and Environmental Microbiology)
  3. The RDP-II (Ribosomal Database Project) (Nucleic Acids Res.)
  4. Quantitative Comparisons of 16S rRNA Gene Sequence Libraries from Environmental Samples (Applied and Environmental Microbiology)
  5. Integration of Microbial Ecology and Statistics: a Test To Compare Gene Libraries (Applied and Environmental Microbiology)
  6. NAST: a multiple sequence alignment server for comparative analysis of 16S rRNA genes (Nucleic Acids Res.)
  7. The CLUSTAL_X windows interface: flexible strategies for multiple sequence alignment aided by quality analysis tools.
  8. A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. (Systematic Biology)
  9. CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice.
  10. Model selection and model averaging in phylogenetics: advantages of akaike information criterion and bayesian approaches over likelihood ratio tests. (Systematic Biology)

Their papers