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Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
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Schema driven assignment and implementation of life science identifiers (LSIDs).

Sapna Bafna1, Julian Humphries, Daniel P Miranker

  • 1Department of Computer Sciences, The University of Texas, Austin, TX 78712, USA. sapna@cs.utexas.edu

Journal of Biomedical Informatics
|July 5, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces a novel architecture for implementing Life Science Identifiers (LSIDs) with relational databases. It simplifies LSID integration by using a SQL-like language for data mapping, making biological data archival more manageable.

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Area of Science:

  • Bioinformatics
  • Data Management
  • Scientific Archiving

Background:

  • Unique archival requirements for biological data necessitate standardized identifiers.
  • Integrating biological data with existing management systems presents challenges.

Purpose of the Study:

  • To describe an architecture for implementing Life Science Identifiers (LSIDs) with relational databases.
  • To simplify the integration of biological data management systems with the LSID protocol.

Main Methods:

  • Developed an add-on layer for integrating LSID protocol with relational database management systems.
  • Defined an export schema and database mapping using SQL view syntax, creating a SQL-like language for LSID implementation.
  • Mapped view definitions to database triggers and a runtime library.

Main Results:

  • Successfully demonstrated an LSID implementation architecture for relational databases.
  • The SQL-like language simplifies the specification of data archival requirements.
  • The approach integrates LSID protocol as an add-on layer, minimizing disruption to existing systems.

Conclusions:

  • The proposed architecture offers an efficient method for implementing LSIDs in biological data management.
  • This approach rationalizes biological data archival by leveraging familiar SQL syntax.
  • Further development of a compiler for this domain-specific language could streamline LSID implementation.