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Data integration using scanners with SQL output--the bioscanners project at sourceforge.

Detlef Groth¹, Stefanie Hartmann, Martin Friemel

¹Max Planck Insitute of Molecular PlantPhysiology, University of Potsdam, Am Mühlenberg 1, D-14476 Potsdam-Golm, Germany.

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|April 9, 2010

Summary

This summary is machine-generated.

Bioinformatics tools lack standardized output parsing. Researchers developed fast, standalone applications using scanner generators to create SQL database code, simplifying data integration and analysis.

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Area of Science:

Bioinformatics
Computational Biology
Data Science

Background:

Numerous bioinformatics tools generate diverse outputs, lacking a standardized parsing approach.
Existing framework approaches, like Bio-toolkits, present limitations for efficient data handling.

Purpose of the Study:

To explore alternative methods for parsing bioinformatics tool outputs.
To develop efficient, standalone applications for simplifying data integration and analysis.

Main Methods:

Evaluation of scanner generators across various programming languages.
Development of sample applications generating standard SQL database code.
Focus on creating small, fast applications compatible with diverse operating systems.

Main Results:

Successful development of applications that generate standard SQL database code.
Demonstrated simplification of data parsing for integration and analysis tasks.
Availability of source code and binaries for selected applications.

Conclusions:

Scanner generators offer a viable approach for creating efficient bioinformatics data parsing tools.
The developed SQL-generating applications significantly streamline data integration and analysis workflows.
Freely available resources facilitate broader adoption and further development in the field.