Bioinformatics and computational genetics integrate biology, computer science, mathematics, and statistics to analyze genetic data.
Bioinformatics develops computational tools for genomic sequencing, protein structure prediction, biological databases (GenBank, UniProt), systems biology, and AI-driven gene function analysis.
Computational genetics studies genetic variation using GWAS, population genetics, phylogenetics, comparative genomics, and personalized medicine.
Applications include medical genomics (disease prediction, gene therapy), agricultural genomics (crop/livestock enhancement), forensic science (DNA fingerprinting), and evolutionary biology.
Key tools include NCBI BLAST, GATK, PLINK, Bioconductor/R, Python, and AlphaFold, driving innovations in healthcare, biotechnology, and research