Harnessing big data in genetics

Abstract

Genomics is revolutionizing science by transforming DNA into actionable data, uncovering insights into health, agriculture, and the environment. This article explores the challenges of handling massive genomic datasets, such as their size, complexity, and variability. Highlighting key processes like reference genomes, short-read alignment using Burrows-Wheeler Transform, and variant annotation, it reveals how raw data becomes critical knowledge, shaping the future of research, healthcare, and global innovation.