Cost per sample? Try cost per attempt

1. 1Calculate the failure rate of your current genomics pipeline
2. 2Determine the cost per attempt by including the cost of failed samples
3. 3Compare the cost per attempt to the cost per sample to identify potential savings
4. 4Optimize your pipeline to reduce failure rates and minimize costs
5. 5Implement a quality control process to monitor and adjust the pipeline as needed

Data scientists and bioinformaticians working on genomics pipelines can benefit from this approach to reduce costs and improve efficiency

💡 Genomics pipelines can fail up to 30% of the time, making cost per attempt a more accurate metric for optimization

💡 Reduce genomics pipeline costs by considering cost per attempt, not just cost per sample!