Systematic improvement of amplicon marker gene methods for increased accuracy in microbiome studies

By Daryl M. Gohl, P. Vangay, J. Garbe, Allison MacLean, Adam Hauge, Aaron Becker, Trevor J. Gould, J. B. Clayton, T. Johnson, R. Hunter and 2 more. Nature Biotechnology, 2016

702 citations recorded by the source corpus.

Subfields: Ecology, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/48dc684d493245c7707b736c67f14ec44ec983ac

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. Dan Knights

In Molecular Biology

1. Robin R. Shields-Cutler
2. Gabriel A. Al-Ghalith
3. Dan Knights
4. Benjamin M Hillmann
5. E. Martens
6. D. Masopust
7. Rob Knight

Citations in the corpus

• Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin (2018, neutral): “38 Study ID* Target gene** Platform Species Strains Citation mock-1 16S HiSeq 46 48 [33] mock-2 16S MiSeq 46 48 [33] mock-3 16S MiSeq 21 21 [33] mock-4 16S MiSeq 21 21 [33] mock-5 16S MiSeq 21 21 [33] mock-7 16S HiSeq 67 67 [34] mock-8 16S HiSeq 67 67 [11] mock-9 ITS HiSeq 13 16 [11] mock-10 ITS HiS”
• U.S. immigration westernizes the human gut microbiome (2018, positive): “16S ribosomal rRNA gene sequences were extracted and amplified following the UMGC-developed protocol (Gohl et al., 2016).”