Metabolomics by numbers: acquiring and understanding global metabolite data.
By Royston Goodacre, Seetharaman Vaidyanathan, Warwick B. Dunn, G. Harrigan, Douglas B. Kell. Trends in Biotechnology, 2004
1,254 citations recorded by the source corpus.
Subfields: Molecular Biology
View Paper: https://www.semanticscholar.org/paper/136f2dd40ad678d4681679383f5eb5b1212cf344
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In Molecular Biology
- David S. Wishart
- Steffen Neumann
- Royston Goodacre
- Matej Oresic
- David I. Ellis
- Yun Xu
- Mikko Katajamaa
- Howbeer Muhamadali
Citations in the corpus
- Proposed minimum reporting standards for data analysis in metabolomics (2007, methodology): “Therefore, there is a need for some method to extract information from the flood of data (Goodacre et al. 2004; Hall 2006; Weckwerth and Morgenthal 2005).”
- MetaboLights—an open-access general-purpose repository for metabolomics studies and associated meta-data (2012, background): “However, to harness the full potential of metabolomics, researchers needs access to data and knowledge to compare, contrast and make inferences from the results they obtain in their experiments (10).”
- Targeted Metabolomics (2012, background): “…terminal downstream product of the genome and consists of the total complement of all the low-molecular-weight molecules (metabolites) in a cell, tissue, or organism required for growth, maintenance, or normal function in a specific physiological state (Goodacre, 2003; Goodacre et al., 2004; Fig.”
- Putative regulatory sites unraveled by network-embedded thermodynamic analysis of metabolome data (2006, background): “…and powerful mass spectrometers, large-scale sets of quantitative metabolite data are currently emerging into the area of systems biology (Goodacre et al , 2004; Nielsen and Oliver, 2005), and it is desired to also integrate these data in order to infer novel insight (Stitt and Fernie,…”
- Hive plots - rational approach to visualizing networks (2012, background): “approaches [15] and characterize both global properties of the system [16] and individual components in”
- Processing methods for differential analysis of LC/MS profile data (2005, methodology): “Liquid chromatography coupled to mass spectrometry [1,2] (LC/MS) has been widely used in proteomics [3] and metabolomics [4] research.”
- A hybrid approach for efficient and robust parameter estimation in biochemical pathways. (2006, background): “metabolomics (Kell, 2004; Goodacre et al., 2004), or”