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Titlebook: Bioinformatics for Cancer Immunotherapy; Methods and Protocol Sebastian Boegel Book 2020 Springer Science+Business Media, LLC, part of Spri

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樓主
發(fā)表于 2025-3-21 16:34:45 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Bioinformatics for Cancer Immunotherapy
期刊簡稱Methods and Protocol
影響因子2023Sebastian Boegel
視頻videohttp://file.papertrans.cn/188/187205/187205.mp4
發(fā)行地址Includes cutting-edge methods and protocols.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from the experts
學科分類Methods in Molecular Biology
圖書封面Titlebook: Bioinformatics for Cancer Immunotherapy; Methods and Protocol Sebastian Boegel Book 2020 Springer Science+Business Media, LLC, part of Spri
影響因子.This volume focuses on a variety of .in silico. protocols of the latest bioinformatics tools and computational pipelines developed for neo-antigen identification and immune cell analysis from high-throughput sequencing data for cancer immunotherapy. The chapters in this book cover topics that discuss the two emerging concepts in recognition of tumor cells using endogenous T cells: cancer vaccines against neo-antigens presented on HLA class I and II alleles, and checkpoint inhibitors. Written in the highly successful .Methods in Molecular Biology. series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls..Cutting-edge and authoritative, .Bioinformatics for Cancer Immunotherapy: Methods and Protocols. is a valuable research tool for any scientist and researcher interested in learning more about this exciting and developing field..
Pindex Book 2020
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書目名稱Bioinformatics for Cancer Immunotherapy影響因子(影響力)




書目名稱Bioinformatics for Cancer Immunotherapy影響因子(影響力)學科排名




書目名稱Bioinformatics for Cancer Immunotherapy網(wǎng)絡公開度




書目名稱Bioinformatics for Cancer Immunotherapy網(wǎng)絡公開度學科排名




書目名稱Bioinformatics for Cancer Immunotherapy被引頻次




書目名稱Bioinformatics for Cancer Immunotherapy被引頻次學科排名




書目名稱Bioinformatics for Cancer Immunotherapy年度引用




書目名稱Bioinformatics for Cancer Immunotherapy年度引用學科排名




書目名稱Bioinformatics for Cancer Immunotherapy讀者反饋




書目名稱Bioinformatics for Cancer Immunotherapy讀者反饋學科排名




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https://doi.org/10.1007/978-3-642-93460-5ted MHC-I peptides. We have previously shown that this targeted search strategy improved peptide identifications for both mouse and human MHC ligands by greater than two-fold and is superior to traditional “no enzyme” search of reference proteomes (Murphy et al. J Res Proteome 16:1806–1816, 2017).
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The SysteMHC Atlas: a Computational Pipeline, a Website, and a Data Repository for Immunopeptidomic
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Bioinformatics for Cancer Immunotherapy,f mutations and the subsequent prediction of potential epitopes, as well as methods for associated biomarker research, such as high-throughput sequencing of T-cell receptors (TCRs), followed by data analysis and the bioinformatics quantification of immune cell infiltration in cancer samples.
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