Enhancing untargeted metabolomics using metadata-based source annotation
Julia M. Gauglitz(University of California San Diego), Nancy J. Lin(National Institute of Standards and Technology), Abigail J. Johnson(University of Minnesota), Lourdes Herrera(Billings Clinic), Nicole Sikora(University of California San Diego), Roxana Coras(University of California San Diego), Thiago M. Cunha(Universidade de São Paulo), Elizabeth A. R. Brown(University of California San Diego), Daniel McDonald(University of California San Diego), Lucas Maciel Mauriz Marques(Universidade de São Paulo), Kelly C. Weldon(University of California San Diego), Stephanie L. Servetas(National Institute of Standards and Technology), Kiana West(University of California San Diego), B.J. Bradford(Kansas State University), Flávio P. Veras(Universidade de São Paulo), Paulina K. Piotrowski(National Institute of Standards and Technology), Dana Withrow(University of Colorado Boulder), Daniela Vargas-Robles, Kate E. Sprecher(University of Wisconsin–Madison), Edgar Diaz(University of California San Diego), Morgan Panitchpakdi(University of California San Diego), Francesca Di Ottavio(University of California San Diego), Tara Schwartz(University of California San Diego), Wout Bittremieux(University of California San Diego), Rodrigo Moreira da Silva(Universidade de São Paulo), Mingxun Wang(University of California, Riverside), Anupriya Tripathi(University of California San Diego), Sandra M. Da Silva(National Institute of Standards and Technology), Katharina Spengler(University of California San Diego), Qiyun Zhu(University of California San Diego), Emmanuel O. Elijah(University of California San Diego), Cameron Martino(University of California San Diego), Pedro Belda‐Ferre(University of California San Diego), Juliano Geraldo Amaral(Universidade Federal da Bahia), Michael J. Meehan(University of California San Diego), Gail Ackermann(University of California San Diego), Christine M. Aceves(University of California San Diego), Justin P. Shaffer(California State University, Fresno), Renê Donizeti Ribeiro de Oliveira(Universidade de São Paulo), Kathleen Dorrestein(University of California San Diego), Gregory Humphrey(University of California San Diego), Robert H. Mills(University of California San Diego), Alan K. Jarmusch(University of California San Diego), Fernando Vargas(University of California San Diego), Lindsay DeRight Goldasich(University of California San Diego), Candace L. Williams(Zoological Society of San Diego), Paulo Louzada‐Júnior(Universidade de São Paulo), MacKenzie Bryant(University of California San Diego), Christina M. Jones(National Institute of Standards and Technology), Clarisse Marotz(University of California San Diego)
Cited by 77
Related Papers
QIIME allows analysis of high-throughput community sequencing data
|Nature Methods|2010|36k
Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2
|Nature Biotechnology|2019|24.2k
Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking
|Nature Biotechnology|2016|4.6k
The Treatment-Naive Microbiome in New-Onset Crohn’s Disease
|Cell Host & Microbe|2014|3.3k
A communal catalogue reveals Earth’s multiscale microbial diversity
|Nature|2017|2.9k