Titlebook: Computational Methods for Precision Oncology; Alessandro Laganà Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive

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书目名称Computational Methods for Precision Oncology被引频次学科排名




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书目名称Computational Methods for Precision Oncology年度引用学科排名




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Assessment of Microsatellite Instability from Next-Generation Sequencing Data,tions/deletions. This phenotype has been extensively characterized in colorectal cancer and is also sought in the context of Lynch syndrome diagnosis. It has recently been described in dozens of cancer types from whole genome/exome sequencing data, bearing some prognostic information. Moreover, MSI

言外之意

言外之意

Computational Methods for Drug Repurposing,eld, resulting in a novel and exciting strategy called drug repurposing. Drug repurposing consists in finding new applications for existing drugs. Numerous computational methods perform a high-level integration of different knowledge sources to facilitate the discovery of unknown mechanisms. In this

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RNA-seq Fusion Detection in Clinical Oncology, therapeutic purposes. Detection methods span a number of platforms, including cytogenetics (e.g., FISH), targeted qPCR, and sequencing-based assays. Before the advent of next-generation sequencing (NGS), fusion testing was primarily targeted to specific genome loci, with assays tailored for previou

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Computational Resources for the Interpretation of Variations in Cancer, interpretation of NGS experiments. However, the intrinsic wealth of data from RNA-seq, ChipSeq, and DNA-seq can be fully exploited only with the proper skill and knowledge. In this chapter, we survey relevant literature concerning databases, annotators, and variant prioritization tools.