Abstract
Autoimmune diseases are a group of disorders in which the immune system mistakenly attacks healthy cells, tissues, and organs. Recent advancements in bioinformatics have provided new insights into the genetic and molecular mechanisms underlying autoimmune diseases, facilitating the discovery of novel biomarkers and therapeutic targets. This article explores the role of bioinformatics in understanding autoimmune diseases, focusing on genome-wide association studies (GWAS), next-generation sequencing (NGS), and systems biology approaches. We also discuss how bioinformatics tools are being used to identify genetic predispositions, unravel disease mechanisms, and develop precision medicine strategies for autoimmune diseases
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