Beyond code quality checks.
Miqa does more than verify if your NGS data analysis code runs correctly. It provides in-depth interpretation and reporting of test results and application-specific evaluation metrics, tailored to the needs of bioinformatic developers and scientific researchers.
A variety of data-driven test types to assess software accuracy, reproducibility & robustness.
Basic validation to ensure pipeline runs to completion successfully with expected file number, format and size.
Verify that identical inputs consistently produce identical results for reproducibility.
Ensure that updates don’t introduce errors by comparing outputs to previous pipeline versions.
Compare summary statistics of NGS data across test runs using built-in or custom processing tools like FastQC and samtools-stats.
Confirms that software updates or code changes do not break existing features by comparing new outputs with previously validated results.
Monitor output quality over time & quickly pinpoint the version or change associated with any unexpected results or errors.
Compare analysis results under different parameter sets. Fine tune your analysis to achieve the best performance and accuracy across datasets.
Compare different software or pipeline performance on the same data to identify the best option for your use case.
Create tests tailored to specific project needs, data types, or workflows, ensuring the software meets specialized requirements.
Define your QA metrics and thresholds in your tests and Miqa will give you a pass/fail/warning flag for each metric upon a test execution.
Simply one click to create a test chain or test block to run future tests automatically and reproducibly.
