G. Gloor

Molecular Biology · 2008–2019

A researcher in the Science corpus: 7 papers; trusts 36 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

Whom G. Gloor trusts overall

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

  1. Paul J. McMurdie
  2. Andrew D. Fernandes
  3. Mark D. Robinson
  4. J. Aitchison
  5. J. Palarea‐Albaladejo
  6. Catherine A. Lozupone
  7. Susan P. Holmes
  8. Nicola Segata
  9. Sophie J. Weiss
  10. Svitlana Tyekucheva

Who trusts G. Gloor overall

  1. Michael R. McLaren
  2. Maren Büttner
  3. Jean M. Macklaim
  4. Anne-Florence Bitbol
  5. Vera Pawlowsky-Glahn
  6. Sergey Ovchinnikov
  7. Duccio Malinverni
  8. A. Willis
  9. Lukas Burger
  10. Huang Lin

Papers from G. Gloor's perspective

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

  1. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  2. Inferring Correlation Networks from Genomic Survey Data (PLoS Comput. Biol.)
  3. Introducing mothur: Open-Source, Platform-Independent, Community-Supported Software for Describing and Comparing Microbial Communities (Applied and Environmental Microbiology)
  4. A comparison of methods for differential expression analysis of RNA-seq data (BMC Bioinformatics)
  5. The Human Microbiome Project (Nature)
  6. UniFrac: a New Phylogenetic Method for Comparing Microbial Communities (Applied and Environmental Microbiology)
  7. Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences
  8. Integrating diverse genomic data using gene sets (Genome Biology)
  9. 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)
  10. Microbial community profiling for human microbiome projects: Tools, techniques, and challenges. (Genome Research)

Their papers