Donovan H. Parks
Molecular Biology · 2009–2023
A researcher in the Science corpus: 16 papers; trusts 25 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 352 citations into it; #2,291 of 17,773 by trust here, #593 by citations
- Ecology — 168 citations into it; #1,526 of 10,717 by trust here, #126 by citations
- Genetics — 54 citations into it
- Plant Science — 35 citations into it
- Food Science — 28 citations into it
- Computational Biology & Bioinformatics — 16 citations into it
- Clinical Biochemistry — 8 citations into it
- Statistics and Probability — 8 citations into it
Whom Donovan H. Parks trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Konstantinos T. Konstantinidis
- Raef A. Lawson
- Morgan N. Price
- John D. Storey
- Yoav Benjamini
- Christian Rinke
- Cyrus R. Mehta
- Philip Hugenholtz
- Sung-Chou Li
- James M. Tiedje
Who trusts Donovan H. Parks overall
- Nicola Segata
- C. Meehan
- Stephen Nayfach
- Oliver Schwengers
- Richa Bharti
- Maria Chuvochina
- Robert G. Beiko
- Javier Tamames
- B. Steven
- Pierre-Alain Chaumeil
Papers from Donovan H. Parks's perspective
Ordered by how strongly the researchers Donovan H. Parks 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)
- Genomic insights that advance the species definition for prokaryotes. (Proceedings of the National Academy of Sciences of the United States of America)
- The Ribosomal Database Project: improved alignments and new tools for rRNA analysis
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- Community structure and metabolism through reconstruction of microbial genomes from the environment (Nature)
- Microbial diversity in the deep sea and the underexplored “rare biosphere” (Proceedings of the National Academy of Sciences of the United States of America)
- Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
- Recovery of nearly 8,000 metagenome-assembled genomes substantially expands the tree of life
- The Pfam protein families database
- Insights into the phylogeny and coding potential of microbial dark matter
Their papers
- Introducing mothur: Open-Source, Platform-Independent, Community-Supported Software for Describing and Comparing Microbial Communities (2009) — 19,675 citations
- Recovery of nearly 8,000 metagenome-assembled genomes substantially expands the tree of life (2017) — 1,634 citations
- CheckM: assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes (2015) — 10,973 citations
- Identifying biologically relevant differences between metagenomic communities (2010) — 920 citations
- A standardized bacterial taxonomy based on genome phylogeny substantially revises the tree of life (2018) — 2,997 citations
- A complete domain-to-species taxonomy for Bacteria and Archaea (2020) — 1,210 citations
- GTDB-Tk: a toolkit to classify genomes with the Genome Taxonomy Database (2019) — 4,714 citations
- Minimum information about a single amplified genome (MISAG) and a metagenome-assembled genome (MIMAG) of bacteria and archaea (2017) — 2,110 citations
- A standardized archaeal taxonomy for the Genome Taxonomy Database (2021) — 391 citations
- GTDB: an ongoing census of bacterial and archaeal diversity through a phylogenetically consistent, rank normalized and complete genome-based taxonomy (2021) — 1,988 citations
- A unified catalog of 204,938 reference genomes from the human gut microbiome (2020) — 1,109 citations
- Methane metabolism in the archaeal phylum Bathyarchaeota revealed by genome-centric metagenomics (2015) — 692 citations
- Greengenes2 unifies microbial data in a single reference tree (2023) — 563 citations
- GTDB-Tk v2: memory friendly classification with the genome taxonomy database (2022) — 1,663 citations
- CheckM2: a rapid, scalable and accurate tool for assessing microbial genome quality using machine learning (2022) — 1,204 citations
- STAMP: statistical analysis of taxonomic and functional profiles (2014) — 3,743 citations