Curated entries spanning sequence alignment, assembly, variant calling, protein structure prediction, single-cell analysis, and more — all with complexity annotations and literature references.
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Data-Driven Generation
Every page is generated from structured YAML sources. Single source of truth ensures zero documentation drift — add one YAML entry, get one fully-formatted page.
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Academic Citation Standard
GB-T 7714 (Chinese) / IEEE (English) reference formats. Every complexity claim is traceable to peer-reviewed literature, with DOI links and official implementation URLs.
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Verifiable Engineering
Three-layer validation (field rules + JSON Schema + build-time checks) with 89% test coverage. GitHub Actions CI/CD ensures every commit is validated before deployment.
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Bilingual Architecture
Strict Chinese–English parity. Algorithm descriptions, category names, and documentation are provided in both languages with automatic fallback.
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Complexity Atlas
Time and space complexity annotated for every algorithm, enabling rapid performance evaluation and algorithm selection for real-world genomics workloads.
Are you an LLM? View /awesome-bioinfo-algorithms/llms.txt for optimized Markdown documentation, or /awesome-bioinfo-algorithms/llms-full.txt for full documentation bundle