| 期刊全稱(chēng) | Bioinformatics for Immunomics | | 影響因子2023 | Darren D.R. Flower,Matthew Davies,Shoba Ranganatha | | 視頻video | http://file.papertrans.cn/188/187212/187212.mp4 | | 發(fā)行地址 | Highlights bioinformatics for immunomics.Includes supplementary material: | | 學(xué)科分類(lèi) | Immunomics Reviews: | | 圖書(shū)封面 |  | | 影響因子 | 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. | | Pindex | Book 2010 |
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