Titlebook: Clinical Bioinformatics; Ronald Trent Book 2014Latest edition Springer Science+Business Media New York 2014 DNA sequencing.analytes.bioinf

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书目名称Clinical Bioinformatics影响因子(影响力)




书目名称Clinical Bioinformatics影响因子(影响力)学科排名




书目名称Clinical Bioinformatics网络公开度




书目名称Clinical Bioinformatics网络公开度学科排名




书目名称Clinical Bioinformatics被引频次




书目名称Clinical Bioinformatics被引频次学科排名




书目名称Clinical Bioinformatics年度引用




书目名称Clinical Bioinformatics年度引用学科排名




书目名称Clinical Bioinformatics读者反馈




书目名称Clinical Bioinformatics读者反馈学科排名

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Production and Analytic Bioinformatics for Next-Generation DNA Sequencing,dictable. At the same time, the bewildering amount of information produced during these analyses needs to be carefully managed, used and interpreted correctly. The challenge for clinical laboratories now is to implement production analytical processes that are capable of handling different experimen

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Analyzing the Metabolome,prediction of the phenotype and the nature of a disease. Mass spectrometry now allows thousands of metabolites to be quantitated. The targeted or untargeted data from metabolic profiling can be combined with either supervised or unsupervised approaches to improve interpretation. These sophisticated

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Statistical Perspectives for Genome-Wide Association Studies (GWAS),well (Subheading 3.1), paying particular attention to case and control selection and achieving adequate sample size to deal with the large burden of multiple testing. Second, we focus on the crucial step of applying stringent quality control (Subheading 3.2) to genotyping results. The most crucial p

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Bioinformatics Challenges in Genome-Wide Association Studies (GWAS),netic architecture of diseases and open up new opportunities for treatment and prevention. However, despite its successes, GWAS have not been able to identify genetic loci that are effective classifiers of disease, limiting their value for genetic testing. This chapter highlights the challenges that

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Studying Cancer Genomics Through Next-Generation DNA Sequencing and Bioinformatics,o distinguish them from inherited germline mutations, can include single-nucleotide substitutions, insertions, deletions, copy number alterations, and structural rearrangements. A patient’s cancer can contain a combination of these aberrations, and the ability to generate a comprehensive genetic pro

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Using Bioinformatics Tools to Study the Role of microRNA in Cancer, groups have described transcript variants as well as discovering new transcribed loci and noncoding RNAs, including microRNAs. In oncology, expression profiling of microRNAs in matched tumor and normal tissues has been used to detect differential expression of microRNAs in cancer. We present one ap

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Bioinformatics Approach to Understanding Interacting Pathways in Neuropsychiatric Disorders,th the increasing interest in the molecular aspect of neuropsychiatry and the availability of high-throughput discovery and analysis tools have encouraged the incorporation of bioinformatics and neurosystems biology techniques into psychiatry and neuroscience research. As applied to neuropsychiatry,

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