Bioinformatics Approaches in Understanding Human Genetic Diversity

Abstract

Human genetic diversity is a key factor in understanding population history, disease susceptibility, and response to treatment. Bioinformatics approaches have revolutionized the study of human genetic diversity by enabling the analysis of large-scale genomic data across different populations. This article discusses the bioinformatics tools and methods used to study human genetic diversity, including whole-genome sequencing, population genomics, and computational methods for identifying genetic variations. We also explore the role of bioinformatics in understanding the genetic basis of diseases and how this knowledge can inform personalized medicine.