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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Computational Methods for Precision Oncology978-3-030-91836-1Series ISSN 0065-2598 Series E-ISSN 2214-8019

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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.

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Alessandro LaganàProvides an overview of the architecture and components of a precision oncology computational workflow.Describes each component of workflow in terms of its tasks, illustrates the biological concepts u

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Advances in Experimental Medicine and Biologyhttp://image.papertrans.cn/c/image/232736.jpg

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Book 2022novel and repurposed therapeutic approaches. Current studies and clinical trials demonstrate the benefits of genomic profiling for patients whose cancer is driven by specific, targetable alterations. However, precision oncologists continue to be challenged by the widespread heterogeneity of cancer g

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https://doi.org/10.1007/978-3-642-01270-9oduces intra-tumor heterogeneity (ITH) in the context of precision oncology applications and provides an overview of the basic concepts, algorithms, and tools for the dissection, analysis, and visualization of ITH from bulk DNA sequencing.