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1. Whole-genome landscape of mucosal melanoma reveals diverse drivers and therapeutic targets.

3. Supplementary Table 1 from A High-Throughput Panel for Identifying Clinically Relevant Mutation Profiles in Melanoma

4. Supplementary Table 2 from A High-Throughput Panel for Identifying Clinically Relevant Mutation Profiles in Melanoma

5. Data from A High-Throughput Panel for Identifying Clinically Relevant Mutation Profiles in Melanoma

6. Supplementary Table 3 from A High-Throughput Panel for Identifying Clinically Relevant Mutation Profiles in Melanoma

7. Supplementary Table 4 from A High-Throughput Panel for Identifying Clinically Relevant Mutation Profiles in Melanoma

8. A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns

9. Combined burden and functional impact tests for cancer driver discovery using DriverPower

10. Integrative pathway enrichment analysis of multivariate omics data

11. Pathway and network analysis of more than 2500 whole cancer genomes

12. Divergent mutational processes distinguish hypoxic and normoxic tumours

13. Genomic footprints of activated telomere maintenance mechanisms in cancer

14. Tumour procurement, DNA extraction, coverage analysis and optimisation of mutation-detection algorithms for human melanoma genomes

17. Whole-genome landscapes of major melanoma subtypes

18. Pan-cancer analysis of whole genomes

19. Cross-Platform Omics Prediction procedure: a game changer for implementing precision medicine in patients with stage-III melanoma

22. Whole-Genome-Sequenzierung von Schleimhautmelanomen zeigt diverse Treiber und therapeutische Targets auf

24. Circulating tumor DNA to monitor treatment response and detect acquired resistance in patients with metastatic melanoma

25. Circulating tumor DNA to monitor treatment response and detect acquired resistance in patients with metastatic melanoma

26. The BARD1 BRCT domain contributes to p53 binding, cytoplasmic and mitochondrial localization, and apoptotic function

27. MicroRNA and mRNA expression profiling in metastatic melanoma reveal associations withBRAFmutation and patient prognosis

28. Increased MAPK reactivation in early resistance to dabrafenib/trametinib combination therapy of BRAF-mutant metastatic melanoma

29. A high-throughput panel for identifying clinically relevant mutation profiles in melanoma

30. Identification of TFG (TRK-fused gene) as a putative metastatic melanoma tumor suppressor gene

31. Intratumoral Molecular Heterogeneity in a BRAF-Mutant, BRAF Inhibitor-Resistant Melanoma: A Case Illustrating the Challenges for Personalized Medicine

33. A High-Throughput Panel for Identifying Clinically Relevant Mutation Profiles in Melanoma

34. Identification of TFG (TRK‐fused gene) as a putative metastatic melanoma tumor suppressor gene

39. Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples

40. Sex differences in oncogenic mutational processes

41. Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples

42. Pan-cancer analysis of whole genomes

43. Sex differences in oncogenic mutational processes

44. Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples

45. Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples

46. Circulating tumor DNA to monitor treatment response and detect acquired resistance in patients with metastatic melanoma

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