COMETS Analytics: An Online Tool for Analyzing and Meta-Analyzing Metabolomics Data in Large Research Consortia

COMETS Analytics: An Online Tool for Analyzing and Meta-Analyzing Metabolomics Data in Large Research Consortia

Consortium-based research is crucial for producing reliable, high-quality findings, but existing tools for consortium studies have important drawbacks with respect to data protection, ease of deployment, and analytical rigor. To address these concerns, we developed COnsortium of METabolomics Studies...

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Bibliographic Details
Main Authors: Appel, N. (Author), Chen, K.-L (Author), Kelly, R.S (Author), Lasky-Su, J.A (Author), Loftfield, E. (Author), Mathe, E.A (Author), Mazzilli, K.M (Author), Mcclain, K. (Author), Moore, S.C (Author), Park, B. (Author), Ruggieri, D. (Author), Temprosa, M. (Author), Trijsburg, L. (Author), Zanetti, K.A (Author), Zeleznik, O.A (Author)
Format: Article
Language:English
Published: Oxford University Press 2022
Subjects:
Academies and Institutes
adult
algorithm
Algorithms
article
bioinformatics
cohort analysis
data analysis
Data Analysis
data protection
data science
data set
detection method
Epidemiologic Studies
epidemiology
female
human
human experiment
Humans
Internet
major clinical study
male
meta-analysis
metabolism
metabolomics
Metabolomics
organization
organization and management
procedures
reproducibility
software design
Software Design
velocity
World Wide Web
Online Access:View Fulltext in Publisher

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