The cost of sequencing a human genome has dramatically decreased from over $100 million in 2001 to under $200 due to technological advancements.
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Long-read sequencing is becoming more affordable and accurate, reducing the need for downstream validation and speeding up the sequencing process.
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AI and automation are essential for managing large-scale genomic data, improving throughput, and reducing turnaround times from weeks to hours.
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Regulatory challenges are emerging with increased genome production, particularly concerning validation, data privacy, and the role of AI in interpretation.
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The future of genomics focuses on integrating diverse omics data into cohesive systems that support scientific progress and clinical applications.
