Bioinformatics is a computational and analytical technique that applies algorithms, statistical methods, and database technologies to the acquisition, storage, processing, and interpretation of biological data, particularly large-scale omics datasets such as genomes, transcriptomes, and proteomes. It encompasses sequence alignment, gene prediction, variant calling, structural modeling, functional annotation, and systems-level network analysis. Bioinformatics pipelines integrate heterogeneous data types, automate quality control, and support reproducible research through workflow management and version-controlled code. As a technique, it enables hypothesis generation, biomarker discovery, and rational design in fields including molecular biology, genomics, pharmacology, and systems biology by transforming raw high-throughput experimental outputs into interpretable, quantitative biological insight.
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