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Titlebook: Bioinformatics; Volume II: Structure Jonathan M. Keith Book 2008 Humana Press 2008 Computational diagnostics.Databases.Microarray expressio

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發(fā)表于 2025-3-21 19:40:37 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Bioinformatics
期刊簡稱Volume II: Structure
影響因子2023Jonathan M. Keith
視頻videohttp://file.papertrans.cn/188/187145/187145.mp4
發(fā)行地址Encompasses topics from across the diverse field of bioinformatics through its broad scope approach.Over 80 authors from around the globe contribute to the two volumes, including many leading experts
學(xué)科分類Methods in Molecular Biology
圖書封面Titlebook: Bioinformatics; Volume II: Structure Jonathan M. Keith Book 2008 Humana Press 2008 Computational diagnostics.Databases.Microarray expressio
影響因子.Not only is the quantity of life science data expanding, but new types of biological data continue to be introduced as a result of technological development and a growing understanding of biological systems. Methods for analyzing these data are an increasingly important component of modern biological research. In Bioinformatics, leading researchers in the field provide a selection of the most useful and widely applicable methods, able to be applied as is, or with minor variations, to many specific problems. Volume II: Structure, Function and Applications contains methods pertinent to the prediction of protein and RNA structures and the analysis and classification of structures, methods for inferring the function of previously identified genomic elements, chiefly protein-coding genes, medical applications in diagnostics and drug discovery, and "meta-methods" for developers of bioinformatics algorithms..
Pindex Book 2008
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書目名稱Bioinformatics影響因子(影響力)




書目名稱Bioinformatics影響因子(影響力)學(xué)科排名




書目名稱Bioinformatics網(wǎng)絡(luò)公開度




書目名稱Bioinformatics網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Bioinformatics被引頻次




書目名稱Bioinformatics被引頻次學(xué)科排名




書目名稱Bioinformatics年度引用




書目名稱Bioinformatics年度引用學(xué)科排名




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發(fā)表于 2025-3-21 22:45:29 | 只看該作者
Book 2008lopment and a growing understanding of biological systems. Methods for analyzing these data are an increasingly important component of modern biological research. In Bioinformatics, leading researchers in the field provide a selection of the most useful and widely applicable methods, able to be appl
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https://doi.org/10.1007/978-1-60327-429-6Computational diagnostics; Databases; Microarray expression data; Phylogenetics; Proteomics; RNA; Radiolog
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1064-3745 thods for inferring the function of previously identified genomic elements, chiefly protein-coding genes, medical applications in diagnostics and drug discovery, and "meta-methods" for developers of bioinformatics algorithms..978-1-61737-895-9978-1-60327-429-6Series ISSN 1064-3745 Series E-ISSN 1940-6029
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Inferring Functional Relationships from Conservation of Gene Order
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Computational Diagnostics with Gene Expression Profiles
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