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- W2997397056 endingPage "108942" @default.
- W2997397056 startingPage "108942" @default.
- W2997397056 abstract "Food allergy is a serious food safety problem worldwide, and the investigation of food allergens is the foundation of preventing and treating them, but relevant knowledge is far from sufficient. With the advent of the “big data era”, it has been possible to investigate food allergens by high-throughput methods, proposing the concept of allergomics. Allergomics is the discipline studying the repertoire of allergens, which has relatively higher throughput and is faster and more sensitive than conventional methods. This review introduces the basis of allergomics and summarizes its major strategies and applications. Particularly, strategies based on immunoblotting, phage display, allergen microarray, and bioinformatics are reviewed in detail, and the advantages and limitations of each strategy are discussed. Finally, further development of allergomics is predicted. This provides basic theories and recent advances in food allergomics research, which could be insightful for both food allergy research and practical applications." @default.
- W2997397056 created "2020-01-10" @default.
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- W2997397056 date "2020-04-01" @default.
- W2997397056 modified "2023-10-17" @default.
- W2997397056 title "Food allergomics based on high-throughput and bioinformatics technologies" @default.
- W2997397056 cites W1970468974 @default.
- W2997397056 cites W1971905966 @default.
- W2997397056 cites W1982877799 @default.
- W2997397056 cites W1987539309 @default.
- W2997397056 cites W1988992792 @default.
- W2997397056 cites W1991724890 @default.
- W2997397056 cites W1994771034 @default.
- W2997397056 cites W1998381936 @default.
- W2997397056 cites W1999871027 @default.
- W2997397056 cites W2002629927 @default.
- W2997397056 cites W2002669028 @default.
- W2997397056 cites W2004228538 @default.
- W2997397056 cites W2005043203 @default.
- W2997397056 cites W2014684835 @default.
- W2997397056 cites W2017524376 @default.
- W2997397056 cites W2018299554 @default.
- W2997397056 cites W2019475164 @default.
- W2997397056 cites W2023378387 @default.
- W2997397056 cites W2029004557 @default.
- W2997397056 cites W2031480494 @default.
- W2997397056 cites W2031979583 @default.
- W2997397056 cites W2037227100 @default.
- W2997397056 cites W2040865345 @default.
- W2997397056 cites W2043781844 @default.
- W2997397056 cites W2050113306 @default.
- W2997397056 cites W2053317618 @default.
- W2997397056 cites W2059128360 @default.
- W2997397056 cites W2065006025 @default.
- W2997397056 cites W2080773283 @default.
- W2997397056 cites W2082476115 @default.
- W2997397056 cites W2084551875 @default.
- W2997397056 cites W2086401908 @default.
- W2997397056 cites W2092836519 @default.
- W2997397056 cites W2102023232 @default.
- W2997397056 cites W2107427705 @default.
- W2997397056 cites W2112874093 @default.
- W2997397056 cites W2117688259 @default.
- W2997397056 cites W2122719813 @default.
- W2997397056 cites W2141015127 @default.
- W2997397056 cites W2141578227 @default.
- W2997397056 cites W2151319628 @default.
- W2997397056 cites W2178606392 @default.
- W2997397056 cites W2225033565 @default.
- W2997397056 cites W2248702106 @default.
- W2997397056 cites W2254535559 @default.
- W2997397056 cites W2296125758 @default.
- W2997397056 cites W2332007243 @default.
- W2997397056 cites W2332669903 @default.
- W2997397056 cites W2333548729 @default.
- W2997397056 cites W2402159725 @default.
- W2997397056 cites W2418916810 @default.
- W2997397056 cites W2520843177 @default.
- W2997397056 cites W2551218489 @default.
- W2997397056 cites W2554072356 @default.
- W2997397056 cites W2559190885 @default.
- W2997397056 cites W2565670508 @default.
- W2997397056 cites W2567417995 @default.
- W2997397056 cites W2569125595 @default.
- W2997397056 cites W2574524551 @default.
- W2997397056 cites W2760859418 @default.
- W2997397056 cites W2770868505 @default.
- W2997397056 cites W2790810738 @default.
- W2997397056 cites W2792874817 @default.
- W2997397056 cites W2805091335 @default.
- W2997397056 cites W2887490063 @default.
- W2997397056 cites W2890948617 @default.
- W2997397056 cites W2894486678 @default.
- W2997397056 cites W2894870050 @default.
- W2997397056 cites W2912320219 @default.
- W2997397056 cites W2916378346 @default.
- W2997397056 cites W2942396393 @default.
- W2997397056 cites W2944329977 @default.
- W2997397056 cites W2949474988 @default.
- W2997397056 cites W2954847438 @default.
- W2997397056 cites W2980464900 @default.
- W2997397056 cites W2987149014 @default.
- W2997397056 cites W4230313049 @default.
- W2997397056 cites W4230582782 @default.
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- W2997397056 doi "https://doi.org/10.1016/j.foodres.2019.108942" @default.
- W2997397056 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32156389" @default.
- W2997397056 hasPublicationYear "2020" @default.
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