
doi: 10.1093/bib/bbae447 , 10.5281/zenodo.10389605 , 10.5281/zenodo.13362848 , 10.5281/zenodo.10389606
pmid: 39297878
pmc: PMC11411775
handle: 20.500.11768/171382 , 20.500.14243/519536
doi: 10.1093/bib/bbae447 , 10.5281/zenodo.10389605 , 10.5281/zenodo.13362848 , 10.5281/zenodo.10389606
pmid: 39297878
pmc: PMC11411775
handle: 20.500.11768/171382 , 20.500.14243/519536
Abstract Clinical Bioinformatics is a knowledge framework required to interpret data of medical interest via computational methods. This area became of dramatic importance in precision oncology, fueled by cancer genomic profiling: most definitions of Molecular Tumor Boards require the presence of bioinformaticians. However, all available literature remained rather vague on what are the specific needs in terms of digital tools and expertise to tackle and interpret genomics data to assign novel targeted or biomarker-driven targeted therapies to cancer patients. To fill this gap, in this article, we present a catalog of software families and human skills required for the tumor board bioinformatician, with specific examples of real-world applications associated with each element presented.
data engineering, decision support tools, variant actionability, Computational Biology, molecular tumor board, Review, Genomics, biobanking, Neoplasms, clinical informatics, variant annotation, Biomarkers, Tumor, Humans, molecular tumor registry, Precision Medicine, clinical bioinformatics, Software
data engineering, decision support tools, variant actionability, Computational Biology, molecular tumor board, Review, Genomics, biobanking, Neoplasms, clinical informatics, variant annotation, Biomarkers, Tumor, Humans, molecular tumor registry, Precision Medicine, clinical bioinformatics, Software
| citations The total number of citations received by all articles of the researcher of interest. | 4 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
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| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
