Abstract:
:The centralized and public availability of molecular sequence and clinical trial data presents an opportunity to identify potentially valuable linkages across the bench-to-bedside "T1" translational barrier. In this study, we sought to leverage keyword metadata (Medical Subject Heading [MeSH] descriptors) to infer relationships between molecular sequences and clinical trials, as indexed by GenBank and ClinicalTrials.gov. The results of this feasibility study found that approximately 30% of sequences in GenBank could be linked to trials and over 90% of trials in ClinicalTrials.gov could be linked to sequences through MeSH descriptors. In a cursory evaluation, we were able to consistently identify meaningful linkages between molecular sequences and clinical trials. Based on our findings, there may be promise in subsequent studies aiming to identify linkages across the T1 translational barrier using existing large repositories.
journal_name
J Biomed Informjournal_title
Journal of biomedical informaticsauthors
Chen ES,Sarkar INdoi
10.1016/j.jbi.2009.10.003subject
Has Abstractpub_date
2010-06-01 00:00:00pages
442-50issue
3eissn
1532-0464issn
1532-0480pii
S1532-0464(09)00138-5journal_volume
43pub_type
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journal_title:Journal of biomedical informatics
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journal_title:Journal of biomedical informatics
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doi:10.1006/jbin.2002.1031
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journal_title:Journal of biomedical informatics
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journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2008.07.003
更新日期:2009-02-01 00:00:00
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journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2013.10.001
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journal_title:Journal of biomedical informatics
pub_type: 杂志文章
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更新日期:2019-06-01 00:00:00
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pub_type: 临床试验,杂志文章
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