Matthew R. Dillon
Molecular Biology · 2018–2020
A researcher in the Science corpus: 7 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 124 citations into it
- Ecology — 68 citations into it
Whom Matthew R. Dillon trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Rob Knight (in Molecular Biology)
- Robert C. Edgar (in Molecular Biology)
Papers from Matthew R. Dillon's perspective
Ordered by how strongly the researchers Matthew R. Dillon trusts endorse each paper. Same corpus, a different order for every researcher.
- Basic local alignment search tool.
- SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB (Nucleic Acids Research)
- Naïve Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy (Applied and Environmental Microbiology)
- The Ribosomal Database Project: improved alignments and new tools for rRNA analysis
- QIIME allows analysis of high-throughput community sequencing data (Nature Methods)
- FastTree 2 – Approximately Maximum-Likelihood Trees for Large Alignments (PLoS ONE)
- Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms (The ISME Journal)
- UniFrac: a New Phylogenetic Method for Comparing Microbial Communities (Applied and Environmental Microbiology)
- The SILVA ribosomal RNA gene database project: improved data processing and web-based tools (Nucleic Acids Res.)
- An improved Greengenes taxonomy with explicit ranks for ecological and evolutionary analyses of bacteria and archaea (The ISME Journal)
Their papers
- Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2 (2019) — 19,259 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
- QIIME 2: Reproducible, interactive, scalable, and extensible microbiome data science (2018) — 1,189 citations
- QIIME 2 Enables Comprehensive End‐to‐End Analysis of Diverse Microbiome Data and Comparative Studies with Publicly Available Data (2020) — 441 citations
- RESCRIPt: Reproducible sequence taxonomy reference database management (2020) — 846 citations
- Author Correction: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2 (2019) — 686 citations