J. Gregory Caporaso

Molecular Biology · 2009–2020

A researcher in the Science corpus: 28 papers; trusts 47 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 565 citations into it; #2,382 of 17,773 by trust here, #329 by citations
• Ecology — 308 citations into it; #889 of 10,717 by trust here, #34 by citations
• Physiology — 62 citations into it
• Food Science — 49 citations into it
• Genetics — 40 citations into it
• Plant Science — 29 citations into it
• Soil Science — 23 citations into it
• Computational Biology & Bioinformatics — 21 citations into it

Whom J. Gregory Caporaso trusts overall

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

1. Catherine A. Lozupone
2. Micah Hamady
3. Rob Knight
4. Noah Fierer
5. C. Lauber
6. Robert C. Edgar
7. Todd Z. DeSantis
8. Stephen F. Altschul
9. Qiong Wang
10. E. Costello

Who trusts J. Gregory Caporaso overall

1. Nicholas A. Bokulich
2. K. N. Burns
3. Noah Fierer
4. William Walters
5. Rob Knight
6. Julia Goodrich
7. J. Kuczynski
8. Sophie J. Weiss
9. Antonio Gonzalez
10. C. Lauber

Papers from J. Gregory Caporaso's perspective

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

1. ARB: a software environment for sequence data. (Nucleic Acids Research)
2. SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB (Nucleic Acids Research)
3. Greengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB (Applied and Environmental Microbiology)
4. UniFrac: a New Phylogenetic Method for Comparing Microbial Communities (Applied and Environmental Microbiology)
5. Introducing DOTUR, a Computer Program for Defining Operational Taxonomic Units and Estimating Species Richness (Applied and Environmental Microbiology)
6. Basic local alignment search tool.
7. Short pyrosequencing reads suffice for accurate microbial community analysis (Nucleic Acids Research)
8. Error-correcting barcoded primers for pyrosequencing hundreds of samples in multiplex (Nature Methods)
9. Microbial diversity in the deep sea and the underexplored “rare biosphere” (Proceedings of the National Academy of Sciences of the United States of America)
10. The Ribosomal Database Project: improved alignments and new tools for rRNA analysis

Their papers

• Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample (2010) — 8,898 citations
• Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms (2012) — 8,174 citations
• Moving pictures of the human microbiome (2011) — 1,133 citations
• PyNAST: a flexible tool for aligning sequences to a template alignment (2009) — 3,469 citations
• Impact of training sets on classification of high-throughput bacterial 16s rRNA gene surveys (2011) — 578 citations
• Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences (2013) — 8,259 citations
• Soil bacterial diversity in the Arctic is not fundamentally different from that found in other biomes. (2010) — 609 citations
• Cohabiting family members share microbiota with one another and with their dogs (2013) — 1,009 citations
• Examining the global distribution of dominant archaeal populations in soil (2011) — 1,207 citations
• Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2 (2019) — 19,259 citations
• Advancing our understanding of the human microbiome using QIIME (2013) — 544 citations
• Species-level functional profiling of metagenomes and metatranscriptomes (2018) — 1,427 citations
• PrimerProspector: de novo design and taxonomic analysis of barcoded polymerase chain reaction primers (2011) — 386 citations
• Improved Bacterial 16S rRNA Gene (V4 and V4-5) and Fungal Internal Transcribed Spacer Marker Gene Primers for Microbial Community Surveys (2015) — 1,905 citations
• Best practices for analysing microbiomes (2018) — 1,565 citations
• Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin (2018) — 4,873 citations
• Qiita: rapid, web-enabled microbiome meta-analysis (2018) — 578 citations
• Using QIIME to analyze 16S rRNA gene sequences from Microbial Communities (2011) — 1,159 citations
• Conducting a Microbiome Study (2014) — 647 citations
• QIIME 2: Reproducible, interactive, scalable, and extensible microbiome data science (2018) — 1,189 citations