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A cloud-based bioinformatic analytic infrastructure and Data Management Core for the Expanded Program on Immunization

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The Human Immunology Project Consortium uses systems biology to find vaccine biomarkers for newborns. A Data Management Core ensures data quality and accessibility for faster scientific discovery.

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Area of Science:

  • Immunology
  • Systems Biology
  • Bioinformatics

Background:

  • The Human Immunology Project Consortium (HIPC) aims to understand vaccine responses.
  • Identifying biomarkers for newborn immunogenicity is crucial for vaccine development.

Purpose of the Study:

  • To establish a Data Management Core (DMC) for the HIPC study.
  • To provide reliable data and bioinformatic infrastructure for analyzing multi-omic datasets.
  • To identify vaccine-induced biomarkers predicting immunogenicity in newborns.

Main Methods:

  • Implemented a cloud-based architecture using Amazon Web Services.
  • Established data tracking for biological samples and metadata.
  • Utilized Amazon S3 for secure storage and version control of multi-omic data.
  • Performed quality control and validation of all datasets.
  • Maintained a controlled computing environment for data analysis and integration.

Main Results:

  • A robust data management system was successfully established.
  • Secure storage and tracking of biological samples and multi-omic data are in place.
  • Data quality assurance processes ensure reliable datasets for analysis.

Conclusions:

  • The DMC infrastructure accelerates translational discovery by providing centralized data resources and expertise.
  • Rapid data sharing enhances collaboration within the project team.
  • Public deposition of finalized datasets benefits the broader scientific community.