Introduction
The sudden spike in failed sequencing runs for 54gene's whole genome sequencing service last week presents a critical issue that demands immediate attention and thorough analysis. As we delve into this problem, we'll employ a systematic approach to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.
Framework overview
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: System changes often correlate with performance issues. Expected answer: Yes, a software update was rolled out last week. Impact on approach: If confirmed, we'd focus on rollback options and code review.
Why it matters: Error patterns can quickly narrow down potential causes. Expected answer: Yes, there's a recurring "data corruption" error. Impact on approach: This would lead us to investigate data handling processes.
Why it matters: Sample integrity is crucial for successful sequencing. Expected answer: No changes in sample handling procedures. Impact on approach: If confirmed, we'd shift focus away from pre-sequencing processes.
Why it matters: Overloaded systems can lead to increased failure rates. Expected answer: Slight increase, but within normal fluctuations. Impact on approach: If significant, we'd look into scaling solutions.
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