Optimize enrichment algorithm

[ManuelTgn]

Task Title

Refactor the enrichment procedure for improved scalability and efficiency. Reduce runtime and memory usage for large-scale datasets like GNOMAD.

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Description

Refactor the enrichment procedure to improve scalability and efficiency. This involves reducing runtime and memory usage for processing large-scale datasets such as GNOMAD.

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Milestone

• Milestone Name: Release v2.1.7

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Acceptance Criteria

Describe the conditions that must be met for the task to be considered complete.

• Enrichment algorithm has a reduced runtime compared to the previous version.
• Memory usage is optimized for large datasets.
• Refactored code is modular and maintainable.

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Steps to Completion

1. Profile the current enrichment algorithm to identify bottlenecks.
2. Refactor the code to improve efficiency.
3. Test scalability with large datasets.
4. Document changes and improvements.

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Labels

• enhancement
• v2.1.7

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Assignees

• Primary: @ManuelTgn

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Additional Notes

None