Genomics Data
Genomics data refers to the digital information derived from sequencing and analyzing genomes, including DNA, RNA, and epigenetic sequences, to understand genetic variations, functions, and relationships. It encompasses raw sequencing reads, assembled genomes, variant calls, gene expression profiles, and annotations, often stored in formats like FASTQ, BAM, VCF, and GFF. This data is fundamental in fields like precision medicine, evolutionary biology, and agricultural biotechnology.
Developers should learn about genomics data when working in bioinformatics, healthcare technology, or data science roles that involve biological datasets, as it enables building tools for variant analysis, drug discovery, and personalized treatment plans. It's essential for creating scalable pipelines to process large-scale sequencing data, such as in cancer genomics or population studies, and for integrating with machine learning models to predict disease risks or optimize crop yields.