Web-based inference of biological patterns, functions and pathways from metabolomic data using MetaboAnalyst

By Jianguo Xia, David S. Wishart. Nature Protocols, 2011

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Non-targeted UHPLC-MS metabolomic data processing methods: a comparative investigation of normalisation, missing value imputation, transformation and scaling (2016, methodology): “KNN and BPCA also performed quite well with KNN slightly out performing BPCA for placental tissue and mammalian cell extracts datasets while BPCA performing similarly to KNN in mouse serum and human urine datasets.”
NOREVA: normalization and evaluation of MS-based metabolomics data (2017, methodology): “These online pipelines include XCMS (41), MetaboAnalyst (42), Normalyzer (37), MetaDB (43), MetDAT (44), MSPrep (45), Metabolomics Workbench (46) and Workflow4Metabolomics (47).”
MetaboAnalyst 2.0—a comprehensive server for metabolomic data analysis (2012, methodology): “To address this need, we have published two comprehensive tutorials to provide some statistical background together with detailed step-by-step instructions using several examples based on publicly available datasets (25,26).”
NetworkAnalyst for statistical, visual and network-based meta-analysis of gene expression data (2015, methodology): “Comparison with other available tools for data integration Many excellent web-based tools exist for analyzing a single omics data set, such as GEPAS 18 , GenePattern 19 , MetaboAnalyst 20,21 and so on.”