Optimization of metabolomic data processing using NOREVA

Zhaorong Li, Jing Tang, Jianbo Fu, Ying Zhang, Yunxia Wang, Hongning Zhang, Jin Liu, Qingxia Yang, Huaicheng Sun, Wenqi Qiu, Yinghui Ma, Mingyue Zheng, Feng Zhu

Published: 2021-12-23 DOI: 10.1038/s41596-021-00636-9

NOREVA

metabolomic data processing

optimization

performance criteria

R package

AI 解读

Supplementary information

Supplementary Information

Supplementary Figs. 1–6, Supplementary Tables 1–8 and Supplementary Methods 1–4.

Reporting Summary

Using high-resolution microscopy data to generate realistic structures for electromagnetic FDTD simulations from complex biological models

Experimental modulation of physiological force application on leg joint neurons in intactDrosophila melanogaster

Mitochondrial single-cell ATAC-seq for high-throughput multi-omic detection of mitochondrial genotypes and chromatin accessibility

Identification, isolation and analysis of human gut-associated lymphoid tissues

Development of RNA G-quadruplex (rG4)-targetingl-RNA aptamers by rG4-SELEX

Self-assembled ultraflexible probes for long-term neural recordings and neuromodulation

Hyperpolarized water as universal sensitivity booster in biomolecular NMR

Improved sampling and DNA extraction procedures for microbiome analysis in food-processing environments

An analytical workflow for dynamic characterization and quantification of metal-bearing nanomaterials in biological matrices

A flow cytometry-based protocol for syngenic isolation of neurovascular unit cells from mouse and human tissues

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Optimization of metabolomic data processing using NOREVA

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