
Bioinformatics Chapman & Hall/CRC Bioinformatics of Autoimmune Diseases Hardcover
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Autres caractéristiques
- Acides gras polyinsaturés
- Non
- Adapté aux enfants
- Non
- Nom du participant responsable du marché dans l'UE
- LOGOS EUROPE
- Guide linguistique
- en
- Largeur de l'emballage
- 17,8 cm
- Hauteur de l'emballage
- 2,4 cm
- Longueur de l'emballage
- 25,4 cm
- Poids de l'emballage
- 840 g
- Végane
- Non
- EAN
- 9781041166108
Informations sur l'étiquette
- Nom du fabricant
- LOGOS EUROPE
Marque
- Marque
- Chapman & Hall/CRC
Description du produit
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.
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, single-cell sequencing, and gene therapy and autoimmune diseases. 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, clinicians, biomedical researchers, and anyone seeking to decode the bioinformatics foundations and mechanisms driving autoimmune disease.
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