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دانشجوعلاقه‌مند یادگیری
کتابخوان حرفه‌ایلذت مطالعه
نویسندهالهام‌گیری

Glycome Informatics : Methods and Applications

Aoki-Kinoshita, Kiyoko F

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پرداخت امن
ضمانت فایل
پشتیبانی

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مشخصات کتاب

سال انتشار
۲۰۰۹
فرمت
PDF
زبان
انگلیسی
تعداد صفحات
۵ صفحه
حجم فایل
۳٫۳ مگابایت

دربارهٔ کتاب

One of the few up-to-date books available in this important area, "Glycome Informatics" covers all known informatics methods pertaining to the study of glycans, which provide crucial functional roles in many biological processes. The book supplies all the necessary background information, including glycan classes, motifs, and nomenclature. It offers a complete list of relevant databases and resources on glycobiology and presents a wide range of methods, from computer theory and data mining to glycomics. The author also discusses key points and ideas for potential research projects. S. Read more... Abstract: Covers the various informatics methods pertaining to the study of glycans, which provide crucial functional roles in many biological processes. This book supplies the necessary background information, including glycan classes, motifs, and nomenclature. It offers a list of relevant databases and resources on glycobiology. Read more... A Focused, State-of-the-Art Overview of This Evolving FieldPresents Various Techniques for GlycoinformaticsThe development and use of informatics tools and databases for glycobiology and glycomics research have increased considerably in recent years. In addition to accumulating well-structured glyco-related data, researchers have now developed semi-automated methods for the annotation of mass spectral data and algorithms for capturing patterns in glycan structure data. These techniques have enabled researchers to gain a better understanding of how these complex st Content: Cover Title Copyright Contents List of Tables List of Figures About the Author Chapter 1: Introduction to Glycobiology Chapter 2: Background Chapter 3: Databases Chapter 4: Glycome Informatics Chapter 5: Potential Research Projects Appendix A: Sequence Analysis Methods Appendix B: Machine Learning Methods Appendix C: Glycomics Technologies Referenes Index.

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