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Titlebook: Computational Genetics and Genomics; Tools for Understand Gary Peltz Book 2005 Humana Press 2005 Haplotype.Radiologieinformationssystem.SNP

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发表于 2025-3-21 18:05:14 | 显示全部楼层 |阅读模式
书目名称Computational Genetics and Genomics
副标题Tools for Understand
编辑Gary Peltz
视频videohttp://file.papertrans.cn/233/232320/232320.mp4
概述Includes supplementary material:
图书封面Titlebook: Computational Genetics and Genomics; Tools for Understand Gary Peltz Book 2005 Humana Press 2005 Haplotype.Radiologieinformationssystem.SNP
描述Ultimately, the quality of the tools available for genetic analysis and experimental disease models will be assessed on the basis of whether they provide new information that generates novel treatments for human disease. In addition, the time frame in which genetic discoveries impact clinical practice is also an important dimension of how society assesses the results of the significant public financial investment in genetic research. Because of the investment and the increased expectation that new tre- ments will be found for common diseases, allowing decades to pass before basic discoveries are made and translated into new therapies is no longer acceptable. Computational Genetics and Genomics: Tools for Understanding Disease provides an overview and assessment of currently available and developing tools for genetic analysis. It is hoped that these new tools can be used to identify the genetic basis for susceptibility to disease. Although this very broad topic is addressed in many other books and journal articles, Computational Genetics and Genomics: Tools for Understanding Disease focuses on methods used for analyzing mouse genetic models of biomedically - portant traits. This vol
出版日期Book 2005
关键词Haplotype; Radiologieinformationssystem; SNP; biology; computational biology; genes; genetics; genome; popul
版次1
doihttps://doi.org/10.1007/978-1-59259-930-1
isbn_softcover978-1-61737-409-8
isbn_ebook978-1-59259-930-1
copyrightHumana Press 2005
The information of publication is updating

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An Iterative Approximation Methodimental murine genetic models can direct biological experimentation, clinical research, and human genetic analysis. This “mouse to man” approach will increase our knowledge of the genes and pathways regulating important biological processes and disease susceptibility.
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assessed on the basis of whether they provide new information that generates novel treatments for human disease. In addition, the time frame in which genetic discoveries impact clinical practice is also an important dimension of how society assesses the results of the significant public financial i
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Stochastic Discrete Event Systemsntal effect (.,.). Despite much research, the genes and causal pathways determining susceptibility to alcohol abuse and dependence remain relatively unknown. Identifying genes that mediate alcoholism will improve strategies for diagnosis, treatment, and ultimately prevention.
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Efficient Simulation of SDES Models yet arrived at our desired destination, that of knowing the genetic basis for complex disease susceptibility (.). Therefore, it is an appropriate time to ask if complex disease research is moving in the right direction and if it is using the best road map and the appropriate type of transportation.
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Computational Biology yet arrived at our desired destination, that of knowing the genetic basis for complex disease susceptibility (.). Therefore, it is an appropriate time to ask if complex disease research is moving in the right direction and if it is using the best road map and the appropriate type of transportation.
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