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Biocompute Objects-A Step towards Evaluation and Validation of Biomedical Scientific Computations.
Vahan Simonyan1, Jeremy Goecks2, Raja Mazumder3
1Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA; vahan.simonyan@fda.hhs.gov jgoecks@gwu.edu mazumder@gwu.edu.
Computational biology algorithms, like physical experiments, are unpredictable due to numerous factors. We introduce biocompute objects to standardize reporting of computational parameters and results, enhancing reproducibility in bioinformatics pipelines.
Area of Science:
- Computational Biology
- Bioinformatics
- Scientific Reproducibility
Background:
- Physical, chemical, and biological experiments are known for their unpredictability due to environmental and procedural variables.
- Computational biology algorithms also exhibit volatility, influenced by a multitude of parameters, yet this is often overlooked.
- A lack of standardized metadata schemas for computational objects hinders the reporting and reproducibility of bioinformatics analyses.
Purpose of the Study:
- To address the challenge of reproducibility in computational biology by introducing a standardized method for reporting computational parameters and results.
- To develop a concept for 'biocompute objects' and their generalized versions, 'biocompute templates', to meet regulatory research needs for bioinformatics pipelines.
- To propose a cross-platform implementation for biocompute templates and discuss their broader usability within the scientific community.
Main Methods:
- Description of the 'biocompute object' concept, designed to capture parameters, dependencies, usage, and other critical information for computational instances.
- Envisioning 'biocompute templates' as adaptable generalized versions supporting specific analysis classes.
- Outlining a simple, powerful cross-platform implementation strategy for biocompute templates.
Main Results:
- The proposed biocompute objects provide a standardized way to record computational parameters and results, essential for evaluation, validation, and verification.
- Biocompute templates offer flexibility for adaptation to unique analytical needs while maintaining standardization.
- A biocompute object database, starting with records relevant to the U.S. Food and Drug Administration, is proposed to foster collaboration and interoperability.
Conclusions:
- Biocompute objects and templates are crucial for enhancing the reproducibility and reliability of computational biology research.
- Standardized reporting through biocompute objects will facilitate regulatory compliance and scientific rigor.
- The proposed database mechanism will serve as a collaborative platform, ensuring interoperability across diverse stakeholders in biocomputing.
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