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lgli/Cs_Computer science/CsBi_Bioinformatics/Flower D.R., et al. (eds.) Bioinformatics for immunomics (Springer, 2010)(ISBN 1441905391)(O)(201s)_CsBi_.pdf
Bioinformatics for Immunomics (Immunomics Reviews: Book 3) 🔍
Matthew N. Davies, Darren R. Flower (auth.), Darren D.R. Flower, Matthew Davies, Shoba Ranganathan (eds.) Springer-Verlag New York, Immunomics Reviews: 3, 1, 2010
英语 [en] · PDF · 4.4MB · 2010 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/scihub/zlib · Save
描述
The field of Immunomics has developed within the post-genomic era as a response to the massive amount of biological and immunological data now available to researchers. Immunomics crosses the disciplines of immunology, genomics, proteomics and computational biology and address some fundamental problems in biological and medical research. This book covers some of the rich sources of immunological data that are currently available and describes the various bioinformatics techniques that have been utilized to aid our understanding of the immune system. It also describes the nature of the self/non-self distinction that forms the basis of immunological theory and how computational modeling can help to clarify our understanding of how the immune system works.
备用文件名
lgrsnf/Cs_Computer science/CsBi_Bioinformatics/Flower D.R., et al. (eds.) Bioinformatics for immunomics (Springer, 2010)(ISBN 1441905391)(O)(201s)_CsBi_.pdf
备用文件名
nexusstc/Bioinformatics for Immunomics/26d3b7fcd397254cc1e4a575be8add20.pdf
备用文件名
scihub/10.1007/978-1-4419-0540-6.pdf
备用文件名
zlib/Science (General)/Matthew N. Davies, Darren R. Flower (auth.), Darren D.R. Flower, Matthew Davies, Shoba Ranganathan (eds.)/Bioinformatics for immunomics_746888.pdf
备选作者
Darren R. Flower, Matthew N. Davies, Shoba Ranganathan, editors
备选作者
Flower, Darren D.R.; Davies, Matthew; Ranganathan, Shoba
备选作者
Göran Högnäs; Arunava Mukherjea
备用版本
Immunomics Reviews:, An Official Publication of the International Immunomics Society, New York, NY, 2010
备用版本
Immunomics reviews -- v. 3, Immunomics reviews -- v. 3., New York, New York State, 2010
备用版本
United States, United States of America
备用版本
Springer Nature, New York, 2010
备用版本
Immunomics Reviews:, 2009
备用版本
2010, 2009-11-05
元数据中的注释
Kolxo3 -- 29-30
元数据中的注释
lg990383
元数据中的注释
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元数据中的注释
Includes bibliographical references and index.
备用描述
Like many words, the term “immunomics” equates to different ideas contingent on context. For a brief span, immunomics meant the study of the Immunome, of which there were, in turn, several different definitions. A now largely defunct meaning rendered the Immunome as the set of antigenic peptides or immunogenic proteins within a single microorganism – be that virus, bacteria, fungus, or parasite – or microbial population, or antigenic or allergenic proteins and peptides derived from the environment as a whole, containing also proteins from eukaryotic sources. However, times have changed and the meaning of immunomics has also changed. Other newer definitions of the Immunome have come to focus on the plethora of immunological receptors and accessory molecules that comprise the host immune arsenal. Today, Immunomics or immunogenomics is now most often used as a synonym for high-throughput genome-based immunology. This is the study of aspects of the immune system using high-throughput techniques within a conc- tual landscape borne of both clinical and biophysical thinking.
备用描述
Front Matter....Pages i-xvi
Computational Vaccinology....Pages 1-20
The Immuno Polymorphism Database....Pages 21-32
The IMGT/HLA Database....Pages 33-45
Ontology Development for the Immune Epitope Database....Pages 47-56
TEPIDAS: A DAS Server for Integrating T-Cell Epitope Annotations....Pages 57-65
Databases and Web-Based Tools for Innate Immunity....Pages 67-76
Structural Immunoinformatics: Understanding MHC-Peptide-TR Binding....Pages 77-93
Discovery of Conserved Epitopes Through Sequence Variability Analyses....Pages 95-101
Tunable Detectors for Artificial Immune Systems: From Model to Algorithm....Pages 103-127
Defining the Elusive Molecular Self....Pages 129-155
A Bioinformatic Platform for a Bayesian, Multiphased, Multilevel Analysis in Immunogenomics....Pages 157-185
Back Matter....Pages 187-192
备用描述
Focuses on systemic and integrative approaches in basic and clinical immunology, immunoinformatics, and immunologically relevant instrumentation and high-throughput screening methods
开源日期
2010-11-11
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