Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Combining clinical and genomics queries using i2b2 - Three methods.

Shawn N Murphy1,2,3, Paul Avillach2,4, Riccardo Bellazzi5,6,7

  • 1Research IS and Computing, Partners HealthCare, Charlestown, Massachusetts, United States of America.

Plos One
|April 8, 2017
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Rare <i>KDR</i> Variants Define a Distinct Genetic Contribution to Congenital Heart Disease.

Circulation. Genomic and precision medicine·2026
Same author

Phenotypic prediction of missense variants via deep contrastive learning.

Nature biomedical engineering·2026
Same author

Prothrombin G20210A and Factor V Leiden Variants Are Not Associated With Thrombotic Events in Congenital Heart Disease: An Observational Trial.

Journal of the American Heart Association·2026
Same author

Maya Postclassic persistence in the Birds of Paradise Wetland Fields, Belize.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Forecasting left ventricular systolic dysfunction in heart failure with artificial intelligence.

EClinicalMedicine·2026
Same author

Scaling medical AI across clinical contexts.

Nature medicine·2026
Same journal

Thymidylate synthase inhibitory drugs induce p53-dependent pathways differently.

PloS one·2026
Same journal

Top-down and bottom-up attention for joint pattern classification and reconstruction.

PloS one·2026
Same journal

Short- and long-term scaling behavior of blood pressure and pulse arrival time during sleep in healthy controls and patients with obstructive sleep apnea.

PloS one·2026
Same journal

Double DQN-based secrecy energy efficiency and fairness performance in IRS-assisted NOMA systems with friendly jamming.

PloS one·2026
Same journal

10 recommendations for strengthening citizen science for improved societal and ecological outcomes: A co-produced analysis of challenges and opportunities in the 21st century.

PloS one·2026
Same journal

Paying in public: Peer effects, impression management, and willingness to pay on digital payment platforms.

PloS one·2026
See all related articles
This summary is machine-generated.

This study presents novel methods for integrating complex genomic and clinical data on the Informatics for Integrating Biology and the Bedside (i2b2) platform. These advancements facilitate complex queries, driving progress in precision medicine.

Area of Science:

  • Biomedical Informatics
  • Genomics
  • Clinical Data Management

Background:

  • The era of "Big Data" in biomedicine is characterized by surging volumes of healthcare and high-throughput sequencing data.
  • Representing and integrating complex genomic and clinical data presents a significant challenge for existing platforms.
  • Coherent data representation across genomic and clinical systems is crucial for advancing translational research.

Purpose of the Study:

  • To investigate the capability of the Informatics for Integrating Biology and the Bedside (i2b2) platform for complex, integrative genomic and clinical queries.
  • To develop and evaluate novel data integration approaches for the i2b2 platform.

Main Methods:

  • Developed three distinct data integration approaches for the i2b2 platform.

Related Experiment Videos

  • Approach 1: Utilized Sequence Ontology for data representation.
  • Approach 2: Leveraged the tranSMART engine for data integration.
  • Approach 3: Employed CouchDB for data management.
  • Main Results:

    • Successfully implemented novel methods for representing and querying complex genomic and clinical data within the i2b2 framework.
    • Demonstrated the feasibility of integrating diverse biomedical data types on a single platform.
    • The developed methods support complex, integrative queries essential for precision medicine.

    Conclusions:

    • The developed data integration approaches enhance the i2b2 platform's capability to handle complex genomic and clinical data.
    • These novel methods are available for advancing precision medicine initiatives.
    • Effective integration of biomedical data is key to unlocking the full potential of translational research.