Paul J. McMurdie

Molecular Biology · 2011–2017

A researcher in the Science corpus: 8 papers; trusts 61 researchers and is trusted by 76 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 148 citations into it; #383 of 17,773 by trust here, #1,833 by citations
• Ecology — 74 citations into it; #7,016 of 10,717 by trust here, #4,679 by citations
• Artificial Intelligence — 26 citations into it; #10,323 of 35,345 by trust here, #12,580 by citations
• Statistics and Probability — 15 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Nature and Landscape Conservation — 8 citations into it
• Information Systems and Management — 7 citations into it
• Signal Processing — 7 citations into it

Whom Paul J. McMurdie trusts overall

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

1. Hadley Wickham
2. Mark D. Robinson
3. John C. Gower
4. Catherine A. Lozupone
5. Marti J. Anderson
6. Eric R. Ziegel
7. Friedrich Leisch
8. James O. Berger
9. Micah Hamady
10. Patrick D. Schloss

Who trusts Paul J. McMurdie overall

1. K. Gdanetz
2. Sophie J. Weiss
3. G. Gloor
4. Richa Bharti
5. Jennifer G. Jankowiak
6. Susan P. Holmes
7. Connor R. Fitzpatrick
8. Achal Dhariwal
9. S. Peschel
10. F. Trail

Papers from Paul J. McMurdie's perspective

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

1. SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB (Nucleic Acids Research)
2. Greengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB (Applied and Environmental Microbiology)
3. Introducing DOTUR, a Computer Program for Defining Operational Taxonomic Units and Estimating Species Richness (Applied and Environmental Microbiology)
4. Controlling the false discovery rate: a practical and powerful approach to multiple testing
5. UniFrac: a New Phylogenetic Method for Comparing Microbial Communities (Applied and Environmental Microbiology)
6. ARB: a software environment for sequence data. (Nucleic Acids Research)
7. QIIME allows analysis of high-throughput community sequencing data (Nature Methods)
8. Naïve Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy (Applied and Environmental Microbiology)
9. Basic local alignment search tool.
10. Introducing mothur: Open-Source, Platform-Independent, Community-Supported Software for Describing and Comparing Microbial Communities (Applied and Environmental Microbiology)

Their papers

• Waste Not, Want Not: Why Rarefying Microbiome Data Is Inadmissible (2013) — 2,595 citations
• DADA2: High resolution sample inference from Illumina amplicon data (2016) — 29,258 citations
• phyloseq: An R Package for Reproducible Interactive Analysis and Graphics of Microbiome Census Data (2013) — 18,229 citations
• Exact sequence variants should replace operational taxonomic units in marker-gene data analysis (2017) — 2,783 citations
• Advancing our understanding of the human microbiome using QIIME (2013) — 544 citations
• PHYLOSEQ: A BIOCONDUCTOR PACKAGE FOR HANDLING AND ANALYSIS OF HIGH-THROUGHPUT PHYLOGENETIC SEQUENCE DATA (2011) — 328 citations
• Temporal and spatial variation of the human microbiota during pregnancy (2015) — 1,044 citations
• Bioconductor Workflow for Microbiome Data Analysis: from raw reads to community analyses (2016) — 967 citations