James J Kozich

Molecular Biology · 2013

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom James J Kozich trusts overall

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

  1. Patrick D. Schloss
  2. Sarah L. Westcott
  3. Dirk Gevers
  4. Qiong Wang
  5. J. Gregory Caporaso
  6. Mitchell L Sogin
  7. Jared T Simpson
  8. Nicholas A. Bokulich
  9. Brian J. Haas
  10. George M. Garrity

Who trusts James J Kozich overall

  1. Robert C. Edgar
  2. Sarah L. Westcott
  3. A. Peralta
  4. A. Comeau
  5. Eva Aylagas
  6. A. Oliver
  7. Nielson T. Baxter
  8. A. McCormick
  9. Samir Rezki
  10. T. Whitman

Papers from James J Kozich's perspective

Ordered by how strongly the researchers James J Kozich 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. Wrinkles in the rare biosphere: pyrosequencing errors can lead to artificial inflation of diversity estimates. (Environmental Microbiology)
  3. SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB (Nucleic Acids Research)
  4. Ironing out the wrinkles in the rare biosphere through improved OTU clustering (Environmental Microbiology)
  5. Naïve Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy (Applied and Environmental Microbiology)
  6. Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms (The ISME Journal)
  7. 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)
  8. Quality-filtering vastly improves diversity estimates from Illumina amplicon sequencing (Nature Methods)
  9. PANDAseq: paired-end assembler for illumina sequences (BMC Bioinformatics)
  10. Removing Noise From Pyrosequenced Amplicons (BMC Bioinformatics)

Their papers