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000167176 1001_ $$0P:(DE-He78)bff9e3e3d86865d2b0836bb8f3ce98f3$$aJäger, Natalie$$b0$$eLast author$$udkfz
000167176 245__ $$aBioinformatics workflows for clinical applications in precision oncology.
000167176 260__ $$aLondon$$bAcademic Press$$c2022
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000167176 520__ $$aHigh-throughput molecular profiling of tumors is a fundamental aspect of precision oncology, enabling the identification of genomic alterations that can be targeted therapeutically. In this context, a patient is matched to a specific drug or therapy based on the tumor's underlying genetic driver events rather than the histologic classification. This approach requires extensive bioinformatics methodology and workflows, including raw sequencing data processing and quality control, variant calling and annotation, integration of different molecular data types, visualization and finally reporting the data to physicians, cancer researchers and pharmacologists in a format that is readily interpretable for clinical decision making. This review comprises a broad overview of these bioinformatics aspects and discusses the multiple analytical, technical and interpretational challenges that remain to efficiently translate molecular findings into personalized treatment recommendations.
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000167176 650_7 $$2Other$$aBioinformatics
000167176 650_7 $$2Other$$aGenomics
000167176 650_7 $$2Other$$aPrecision Oncology
000167176 650_7 $$2Other$$aclinical decision support
000167176 650_7 $$2Other$$asomatic variants
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