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@ARTICLE{Jger:167176,
      author       = {N. Jäger$^*$},
      title        = {{B}ioinformatics workflows for clinical applications in
                      precision oncology.},
      journal      = {Seminars in cancer biology},
      volume       = {84},
      issn         = {1044-579X},
      address      = {London},
      publisher    = {Academic Press},
      reportid     = {DKFZ-2021-00167},
      pages        = {103-112},
      year         = {2022},
      note         = {#LA:B062# / 2022 Sep;84:103-112},
      abstract     = {High-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.},
      subtyp        = {Review Article},
      keywords     = {Bioinformatics (Other) / Genomics (Other) / Precision
                      Oncology (Other) / clinical decision support (Other) /
                      somatic variants (Other)},
      cin          = {B062},
      ddc          = {610},
      cid          = {I:(DE-He78)B062-20160331},
      pnm          = {312 - Funktionelle und strukturelle Genomforschung
                      (POF4-312)},
      pid          = {G:(DE-HGF)POF4-312},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:33476720},
      doi          = {10.1016/j.semcancer.2020.12.020},
      url          = {https://inrepo02.dkfz.de/record/167176},
}