Gavin M. Douglas
Molecular Biology · 2017–2022
A researcher in the Science corpus: 10 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 166 citations into it
- Ecology — 60 citations into it
- Genetics — 11 citations into it
- Food Science — 8 citations into it
Whom Gavin M. Douglas trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Stilianos Louca
- Cedric E. Ginestet
- J. Gregory Caporaso
- Jiajie Zhang
- Benjamin J. Callahan
- Paul J. McMurdie
- James J Kozich
- William Walters
- A. M. Eren
Papers from Gavin M. Douglas's perspective
Ordered by how strongly the researchers Gavin M. Douglas trusts endorse each paper. Same corpus, a different order for every researcher.
- SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB (Nucleic Acids Research)
- Introducing mothur: Open-Source, Platform-Independent, Community-Supported Software for Describing and Comparing Microbial Communities (Applied and Environmental Microbiology)
- Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms (The ISME Journal)
- Development of a Dual-Index Sequencing Strategy and Curation Pipeline for Analyzing Amplicon Sequence Data on the MiSeq Illumina Sequencing Platform (Applied and Environmental Microbiology)
- PyNAST: a flexible tool for aligning sequences to a template alignment (Bioinform.)
- Exploring Microbial Diversity and Taxonomy Using SSU rRNA Hypervariable Tag Sequencing (PLoS Genetics)
- An improved dual-indexing approach for multiplexed 16S rRNA gene sequencing on the Illumina MiSeq platform (Microbiome)
- DADA2: High resolution sample inference from Illumina amplicon data (Nature Methods)
- A Primer on Metagenomics (PLoS Comput. Biol.)
- Analyzing and minimizing PCR amplification bias in Illumina sequencing libraries (Genome Biology)
Their papers
- Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2 (2019) — 19,259 citations
- The human tumor microbiome is composed of tumor type-specific intracellular bacteria (2020) — 2,022 citations
- QIIME 2: Reproducible, interactive, scalable, and extensible microbiome data science (2018) — 1,189 citations
- Microbiome differential abundance methods produce different results across 38 datasets (2022) — 785 citations
- PICRUSt2 for prediction of metagenome functions (2020) — 5,427 citations
- Author Correction: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2 (2019) — 686 citations
- Enhancement of the gut barrier integrity by a microbial metabolite through the Nrf2 pathway (2019) — 609 citations
- PICRUSt2: An improved and customizable approach for metagenome inference (2019) — 410 citations
- Denoising the Denoisers: an independent evaluation of microbiome sequence error-correction approaches (2018) — 294 citations
- Microbiome Helper: a Custom and Streamlined Workflow for Microbiome Research (2017) — 583 citations