Bioinformatics¶
Definition
AI-generated
Bioinformatics develops algorithms, software, and databases to store, align, annotate, and interpret large-scale biological sequence and omics data.
Topics
Why it matters in GWAS¶
GWAS pipelines—from genotype calling and imputation through association testing, fine-mapping, and annotation—are implemented as reproducible bioinformatics workflows on reference genomes and standardized formats (e.g. VCF, BGEN).
Example usage¶
"The project relied on bioinformatics pipelines for read alignment, variant calling, annotation, and downstream QC dashboards."
Related terms¶
References¶
- Greene D, et al. (2024). A practical introduction to GWAS. Nat Rev Methods Primers. https://doi.org/10.1038/s43586-024-00300-5
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