Sequence Analysis
Sequence analysis is a computational and statistical methodology used to study biological sequences, such as DNA, RNA, and proteins, to extract meaningful information about their structure, function, and evolution. It involves techniques like sequence alignment, motif discovery, and phylogenetic analysis to identify patterns, similarities, and variations. This field is fundamental in bioinformatics and genomics for applications like gene prediction, disease research, and drug development.
Developers should learn sequence analysis when working in bioinformatics, computational biology, or healthcare technology, as it enables the processing and interpretation of large-scale genomic data. It is essential for building tools that analyze genetic variations, predict protein functions, or support personalized medicine, such as in cancer genomics or pathogen detection. Knowledge of sequence analysis is also valuable for roles in biotech startups, academic research, or pharmaceutical companies developing data-driven solutions.