
Genomic sequencing has provided critical insights into the etiology of both simple and complex diseases. The enormous reductions in cost for whole genome sequencing have allowed this technology to gain increasing use. Whole genome analysis has impacted research of complex diseases including cancer by allowing the systematic analysis of entire genomes in a single experiment, thereby facilitating the discovery of somatic and germline mutations, and identification of the insertions, deletions, and structural rearrangements, including translocations and inversions, in novel disease genes. Whole-genome sequencing can be used to provide the most comprehensive characterization of the cancer genome, the complexity of which we are only beginning to understand. Hence in this review, we focus on whole-genome sequencing in cancer.
Genome, Human, Gene Expression Profiling, DNA Mutational Analysis, Computational Biology, High-Throughput Nucleotide Sequencing, Genomics, Sequence Analysis, DNA, Prognosis, Gene Expression Regulation, Neoplastic, Phenotype, Predictive Value of Tests, Neoplasms, Mutation, Biomarkers, Tumor, Animals, Humans, Genetic Predisposition to Disease, Genetic Testing, Precision Medicine, Genome-Wide Association Study
Genome, Human, Gene Expression Profiling, DNA Mutational Analysis, Computational Biology, High-Throughput Nucleotide Sequencing, Genomics, Sequence Analysis, DNA, Prognosis, Gene Expression Regulation, Neoplastic, Phenotype, Predictive Value of Tests, Neoplasms, Mutation, Biomarkers, Tumor, Animals, Humans, Genetic Predisposition to Disease, Genetic Testing, Precision Medicine, Genome-Wide Association Study
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| 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% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
