PMC:7454258 / 125764-126879 JSONTXT

Annnotations TAB JSON ListView MergeView

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T230 565-568 Disease denotes NSF http://purl.obolibrary.org/obo/MONDO_0015294

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T126 62-65 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T127 254-255 http://purl.obolibrary.org/obo/CLO_0001020 denotes a

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T79575 571-573 Chemical denotes VA http://purl.obolibrary.org/obo/CHEBI_75008

LitCovid-PD-GO-BP

Id Subject Object Predicate Lexical cue
T37557 55-61 http://purl.obolibrary.org/obo/GO_0040007 denotes growth

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T675 0-42 Sentence denotes Leverage new technologies and data science
T676 43-209 Sentence denotes Exponential growth has occurred in technology, genomics, proteomics, and metabolomics platforms; personalized and environmental sensors; and other big-data resources.
T677 210-309 Sentence denotes Yet, the implications of these advances for a new era of nutrition research have not been realized.
T678 310-890 Sentence denotes Strategic planning across the federal government would help mobilize limited resources for maximizing this high-cost area of research. As one example, while diverse federal departments and agencies [e.g., NIH, USDA, DoD, FDA, National Science Foundation (NSF), VA] have expressed great interest in personalized or precision nutrition (234), inadequate funding and coordination have hampered the nation's ability to fully leverage and harness the potential of the powerful, expensive ’omics platforms and related data science advances to develop personalized recommendations (235).
T679 891-1115 Sentence denotes The untapped potential of new technology and data science approaches extends far beyond precision nutrition, with promise for additional basic, clinical, environmental, and public health research on food and nutrition (236).

2_test

Id Subject Object Predicate Lexical cue
32687145-28829397-2017908 645-648 28829397 denotes 234
32687145-29433995-2017909 885-888 29433995 denotes 235
32687145-30760118-2017910 1110-1113 30760118 denotes 236