Abstract
Motivation: The volume of biomedical data generated each year is growing exponentially as high-throughput molecular, imaging and mHealth technologies expand. This rise in data volume has contributed to an increasing reliance on and demand for computational methods, and consequently to increased attention to software quality and data integrity. Results: To simplify data verification in diverse data-processing pipelines, we created PipeVal, a light-weight, easy-to-use, extensible tool for file validation. It is open-source, easy to integrate with complex workflows, and modularized for extensibility for new file formats. PipeVal can be rapidly inserted into existing methods and pipelines to automatically validate and verify inputs and outputs. This can reduce wasted compute time attributed to file corruption or invalid file paths, and significantly improve the quality of data-intensive software.
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CITATION STYLE
Patel, Y., Beshlikyan, A., Jordan, M., Kim, G., Holmes, A., Yamaguchi, T. N., & Boutros, P. C. (2024). PipeVal: light-weight extensible tool for file validation. Bioinformatics, 40(2). https://doi.org/10.1093/bioinformatics/btae079
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