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Detection of Homologous Recombination Intermediates via Proximity Ligation and Quantitative PCR in Saccharomyces cerevisiae

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The dGrail toolkit for iterative deterministic record linkage.

Jeremy Ey¹, Andrew Walker, Douglas A Talbert

¹Tennessee Technological University, Cookeville, TN, USA.

AMIA ... Annual Symposium Proceedings. AMIA Symposium

|August 13, 2008

Summary

The distributed Graph rule automata for iterative linkage (dGrail) toolkit facilitates deterministic record linkage. It enables iterative refinement of linked datasets for creating gold standards or other offline linkage tasks.

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Area of Science:

Computer Science
Data Science
Bioinformatics

Background:

Deterministic record linkage is crucial for data integration.
Existing tools may lack flexibility for complex matching rules.
Iterative development of linked datasets is often necessary.

Purpose of the Study:

Introduce the distributed Graph rule automata for iterative linkage (dGrail) toolkit.
Provide a flexible software package for deterministic record linkage.
Support the iterative generation of high-quality, linked record sets.

Main Methods:

Developed a software package named dGrail.
Implemented a flexible rule engine for diverse matching criteria.
Enabled iterative refinement of record linkage processes.

Main Results:

The dGrail toolkit offers a robust solution for deterministic record linkage.
Users can implement a wide array of record matching rules.
The toolkit supports the creation of gold standard datasets.

Conclusions:

dGrail is a versatile tool applicable to various offline deterministic record linkage scenarios.
The flexible rule engine enhances the adaptability of the toolkit.
Facilitates the creation of accurate and reliable linked data.