In what ways can we improve the accuracy of base calling for Oxford Nanopore's PromethION sequencer?

Introduction

Improving the accuracy of base calling for Oxford Nanopore's PromethION sequencer is a critical challenge in the field of genomic sequencing. This high-throughput device has revolutionized long-read sequencing, but enhancing its base calling accuracy could significantly impact its utility in various applications, from basic research to clinical diagnostics. I'll approach this product improvement challenge by first clarifying the context, then analyzing user segments and pain points, generating solutions, and finally evaluating and prioritizing these solutions with appropriate metrics for measurement.

Step 1

Clarifying Questions (5 mins)

• Looking at the product context, I'm thinking about the current accuracy levels and their impact on different applications. Could you provide more information on the current base calling accuracy of the PromethION sequencer and how it compares to industry standards?

Why it matters: This helps us understand the magnitude of improvement needed and set realistic goals. Expected answer: Current accuracy is around 95% for single-pass reads, lagging behind some competitors. Impact on approach: If accuracy is significantly lower than competitors, we might need to focus on fundamental algorithmic improvements.

• Considering the user base, I'm curious about the primary use cases for the PromethION sequencer. Are we primarily serving research institutions, clinical laboratories, or both? How does this split affect our priorities?

Why it matters: Different user groups may have varying accuracy requirements and tolerances. Expected answer: 60% research institutions, 40% clinical laboratories, with clinical use growing. Impact on approach: A growing clinical user base might push us towards prioritizing improvements that enhance diagnostic capabilities.

• Thinking about the product lifecycle, where does the PromethION stand in terms of market adoption and maturity? Are we looking to expand our user base or primarily serve existing customers better?

Why it matters: This influences whether we focus on refining existing features or introducing new capabilities. Expected answer: Established product with a loyal user base, but facing increased competition. Impact on approach: We might need to balance incremental improvements with more innovative features to maintain market position.

• Considering external factors, how has the competitive landscape evolved recently? Are there new technologies or approaches that are challenging our position in the market?

Why it matters: This helps us understand if we need to catch up to competitors or innovate to stay ahead. Expected answer: Emerging short-read technologies are improving accuracy and challenging long-read dominance in some applications. Impact on approach: We might need to focus on highlighting and enhancing the unique advantages of long-read sequencing.