Daniel R. Noguera
Molecular Biology · 2001–2017
A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 31 citations into it; #9,612 of 17,773 by trust here, #14,509 by citations
- Ecology — 18 citations into it; #5,443 of 10,717 by trust here, #7,755 by citations
- Pollution — 7 citations into it
Whom Daniel R. Noguera trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Daniel R. Noguera overall
Papers from Daniel R. Noguera's perspective
Ordered by how strongly the researchers Daniel R. Noguera trusts endorse each paper. Same corpus, a different order for every researcher.
- The Ribosomal Database Project: improved alignments and new tools for rRNA analysis
- SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB (Nucleic Acids Research)
- Ironing out the wrinkles in the rare biosphere through improved OTU clustering (Environmental Microbiology)
- Accurate determination of microbial diversity from 454 pyrosequencing data (Nature Methods)
- Naïve Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy (Applied and Environmental Microbiology)
- The ribosomal database project (RDP-II): introducing myRDP space and quality controlled public data (Nucleic Acids Res.)
- Introducing mothur: Open-Source, Platform-Independent, Community-Supported Software for Describing and Comparing Microbial Communities (Applied and Environmental Microbiology)
- Chimeric 16S rRNA sequence formation and detection in Sanger and 454-pyrosequenced PCR amplicons. (Genome Research)
- Deciphering the evolution and metabolism of an anammox bacterium from a community genome (Nature)
- Greengenes: Chimera-checked 16S rRNA gene database and workbench compatible in ARB
Their papers
- DECIPHER, a Search-Based Approach to Chimera Identification for 16S rRNA Sequences (2011) — 661 citations
- Metabolic network analysis reveals microbial community interactions in anammox granules (2017) — 673 citations
- Quantitative cellular automaton model for biofilms (2001) — 103 citations