Full Description
Autoimmune diseases arise when the immune system misidentifies the body's own tissues as threats, a catastrophic failure of self-recognition that leads to chronic inflammation, tissue damage, and long-term disability. Bioinformatics of Autoimmune Diseases is a timely and comprehensive guide that explores not only the immunological basis of these disorders but also the cutting-edge bioinformatics approaches used to analyze the genomic, transcriptomic, and epigenomic data driving modern discovery.
Structured to bridge foundational immunology with advanced computational analysis, this book offers readers a progression from the molecular mechanisms of immune function and dysfunction to the bioinformatics pipelines used to investigate them. Early chapters provide a thorough grounding in immune cell biology, immune checkpoints, and disease pathogenesis. Subsequent chapters guide readers through practical analyses of autoimmune disease data, covering RNA-Seq, variant analysis, microbiome profiling, ATAC-Seq, ChIP-Seq, and single-cell sequencing. Bioinformatics tools are introduced using Python with step-by-step workflows, enabling hands-on engagement with real datasets.
Written by a professor of bioinformatics and developer of bioinformatics tools, the book draws from over a decade of broad experience in computational biology. With detailed illustrations, curated datasets, and a clear emphasis on reproducibility, it serves as a foundational resource for graduate students, clinician, biomedical researchers, and anyone seeking to decode the bioinformatic foundations and mechanisms driving autoimmune disease.
Contents
Ch 1 Immune Mechanisms and Major Autoimmune Diseases Ch 2 Genetic Markers in Autoimmunity Ch 3 Bioinformatics Design for Autoimmune Research Ch 4 Bioinformatics Databases Ch 5 RNA Sequencing Ch 6 Variant Analysis Ch 7 DNA-Protein Interactions and Autoimmune Diseases Ch 8 ATAC-Seq for Autoimmune Diseases Ch 9 Roles of Bacteria in Autoimmune Diseases Ch 10 Gene Therapy and Autoimmune Diseases Index
