FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4311254219> ?p ?o ?g. }

• W4311254219 endingPage "66" @default.
• W4311254219 startingPage "50" @default.
• W4311254219 abstract "Metabolomics aims to analyze the so-called metabolome, which is composed of all the low-molecular-weight compounds present in biological systems. Approximately 1 million metabolites are estimated to exist in the plant kingdom. The remarkable development of a range of analytical platforms enables the separation, detection, characterization, and (semi-)quantification of primary and secondary metabolites in plants. Furthermore, spatial metabolomics techniques such as mass spectrometry and magnetic resonance imaging have shown great progress in visualizing the localization of metabolites in plant tissues. Based on the great contribution of the metabolomics community, guidelines for metabolite identification confidence and the collection of metabolomics metadata are proposed. Here, the analytical targets and techniques in plant metabolomics are summarized. Furthermore, the progress made in generating “reliable” metabolomics data for big data biology is introduced. In conclusion, metabolomics data analyses will boost the progress of big data biology, though the validation of data reliability is important. When researchers upload metabolomics data, minimum reporting standards as proposed by the Metabolomics Standards Initiative should be provided along with metabolite identification confidence. More data should be shared worldwide to foster the development of computational approaches for outcome interpretation. Finally, the integration of other omics with metabolomics data and the synthesis on a system level are crucial steps toward linking genotype–metabotype–phenotype relationships and implementing “metabolic editing” in plants." @default.
• W4311254219 created "2022-12-25" @default.
• W4311254219 creator A5009572620 @default.
• W4311254219 creator A5079973992 @default.
• W4311254219 date "2022-12-12" @default.
• W4311254219 modified "2023-09-28" @default.
• W4311254219 title "Plant Metabolomics: The Great Potential of Plant Metabolomics in Big Data Biology" @default.
• W4311254219 cites W1494075612 @default.
• W4311254219 cites W1536317310 @default.
• W4311254219 cites W1611854178 @default.
• W4311254219 cites W1930880655 @default.
• W4311254219 cites W1960974681 @default.
• W4311254219 cites W1963713134 @default.
• W4311254219 cites W1964727001 @default.
• W4311254219 cites W1966076168 @default.
• W4311254219 cites W1966215111 @default.
• W4311254219 cites W1968324131 @default.
• W4311254219 cites W1978070573 @default.
• W4311254219 cites W1979649481 @default.
• W4311254219 cites W1981366440 @default.
• W4311254219 cites W1982972154 @default.
• W4311254219 cites W1986517195 @default.
• W4311254219 cites W1989505831 @default.
• W4311254219 cites W1990420218 @default.
• W4311254219 cites W1995136365 @default.
• W4311254219 cites W2002242662 @default.
• W4311254219 cites W2017547171 @default.
• W4311254219 cites W2019176597 @default.
• W4311254219 cites W2028868694 @default.
• W4311254219 cites W2028976391 @default.
• W4311254219 cites W2031136928 @default.
• W4311254219 cites W2031291929 @default.
• W4311254219 cites W2051607590 @default.
• W4311254219 cites W2052212755 @default.
• W4311254219 cites W2057205712 @default.
• W4311254219 cites W2059327215 @default.
• W4311254219 cites W2060121473 @default.
• W4311254219 cites W2065021234 @default.
• W4311254219 cites W2080046774 @default.
• W4311254219 cites W2084375915 @default.
• W4311254219 cites W2086430173 @default.
• W4311254219 cites W2088395436 @default.
• W4311254219 cites W2096192437 @default.
• W4311254219 cites W2111115065 @default.
• W4311254219 cites W2114688451 @default.
• W4311254219 cites W2116041602 @default.
• W4311254219 cites W2118258530 @default.
• W4311254219 cites W2124112424 @default.
• W4311254219 cites W2141405875 @default.
• W4311254219 cites W2143129697 @default.
• W4311254219 cites W2145817919 @default.
• W4311254219 cites W2147013674 @default.
• W4311254219 cites W2149309843 @default.
• W4311254219 cites W2149603583 @default.
• W4311254219 cites W2149617981 @default.
• W4311254219 cites W2151346683 @default.
• W4311254219 cites W2152910286 @default.
• W4311254219 cites W2277322264 @default.
• W4311254219 cites W2318406064 @default.
• W4311254219 cites W2341031032 @default.
• W4311254219 cites W2504691963 @default.
• W4311254219 cites W2520784563 @default.
• W4311254219 cites W2523001295 @default.
• W4311254219 cites W2558872626 @default.
• W4311254219 cites W2571545805 @default.
• W4311254219 cites W2572747554 @default.
• W4311254219 cites W2608815200 @default.
• W4311254219 cites W2760339615 @default.
• W4311254219 cites W2760650588 @default.
• W4311254219 cites W2766055724 @default.
• W4311254219 cites W2802473898 @default.
• W4311254219 cites W2891671374 @default.
• W4311254219 cites W2898421476 @default.
• W4311254219 cites W2912300582 @default.
• W4311254219 cites W2949129058 @default.
• W4311254219 cites W2951180849 @default.
• W4311254219 cites W2965861836 @default.
• W4311254219 cites W2968374930 @default.
• W4311254219 cites W2972529175 @default.
• W4311254219 cites W2979585142 @default.
• W4311254219 cites W2982601545 @default.
• W4311254219 cites W2985897872 @default.
• W4311254219 cites W2986041539 @default.
• W4311254219 cites W3000281099 @default.
• W4311254219 cites W3033466752 @default.
• W4311254219 cites W3034300141 @default.
• W4311254219 cites W3096828292 @default.
• W4311254219 cites W3097145107 @default.
• W4311254219 cites W3124416396 @default.
• W4311254219 cites W3135794623 @default.
• W4311254219 cites W3150656677 @default.
• W4311254219 cites W3159995035 @default.
• W4311254219 cites W3215751839 @default.
• W4311254219 cites W4200034803 @default.
• W4311254219 doi "https://doi.org/10.1079/9781789247534.0004" @default.
• W4311254219 hasPublicationYear "2022" @default.
• W4311254219 type Work @default.
• W4311254219 citedByCount "0" @default.

• next