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2. Data from AACR Project GENIE: Powering Precision Medicine through an International Consortium

3. Table S3 from AACR Project GENIE: Powering Precision Medicine through an International Consortium

4. Supplemental Methods, Supplemental Tables 1-2, Supplemental Figures 1-4 from AACR Project GENIE: Powering Precision Medicine through an International Consortium

5. Supplemental File 1 from AACR Project GENIE: Powering Precision Medicine through an International Consortium

6. Supplementary Information from Pretreatment microRNA Expression Impacting on Epithelial-to-Mesenchymal Transition Predicts Intrinsic Radiosensitivity in Head and Neck Cancer Cell Lines and Patients

8. Supplementary Figure 1 and Tables 1-8 from Pretreatment microRNA Expression Impacting on Epithelial-to-Mesenchymal Transition Predicts Intrinsic Radiosensitivity in Head and Neck Cancer Cell Lines and Patients

9. Data from MicroRNA Sequence and Expression Analysis in Breast Tumors by Deep Sequencing

10. Supplementary Figure 3 from MicroRNA Sequence and Expression Analysis in Breast Tumors by Deep Sequencing

11. Supplementary Figure 5 from MicroRNA Sequence and Expression Analysis in Breast Tumors by Deep Sequencing

12. Supplementary Figure 4 from MicroRNA Sequence and Expression Analysis in Breast Tumors by Deep Sequencing

13. Supplementary Figure 2B from MicroRNA Sequence and Expression Analysis in Breast Tumors by Deep Sequencing

14. Supplementary Figure 1 from MicroRNA Sequence and Expression Analysis in Breast Tumors by Deep Sequencing

15. Supplementary Methods, Figure and Table Legends from MicroRNA Sequence and Expression Analysis in Breast Tumors by Deep Sequencing

16. Supplementary Figure 6 from MicroRNA Sequence and Expression Analysis in Breast Tumors by Deep Sequencing

17. Supplementary Tables 1-8C from MicroRNA Sequence and Expression Analysis in Breast Tumors by Deep Sequencing

18. A conditional piggyBac transposition system for genetic screening in mice identifies oncogenic networks in pancreatic cancer

20. Erratum to: Validation of a clinical blood-based decision aid to guide immunotherapy treatment in patients with non-small cell lung cancer

21. Validation of a clinical blood-based decision aid to guide immunotherapy treatment in patients with non-small cell lung cancer

22. The deubiquitinase USP9X suppresses pancreatic ductal adenocarcinoma

23. Insertional mutagenesis identifies drivers of a novel oncogenic pathway in invasive lobular breast carcinoma

25. Pretreatment microRNA Expression Impacting on Epithelial-to-Mesenchymal Transition Predicts Intrinsic Radiosensitivity in Head and Neck Cancer Cell Lines and Patients

26. Double somatic mutations in mismatch repair genes are frequent in colorectal cancer after Hodgkin's lymphoma treatment.

27. Optimizing sharing of hospital biobank samples

29. A conditional piggyBac transposition system for genetic screening in mice identifies oncogenic networks in pancreatic cancer

31. Analysis of Tumor Heterogeneity and Cancer Gene Networks Using Deep Sequencing of MMTV-Induced Mouse Mammary Tumors

32. Erratum: Corrigendum: The deubiquitinase USP9X suppresses pancreatic ductal adenocarcinoma

33. Insertional mutagenesis identifies multiple networks of cooperating genes driving intestinal tumorigenesis

34. MicroRNA Sequence and Expression Analysis in Breast Tumors by Deep Sequencing

36. Bioinformatic analysis of barcoded cDNA libraries for small RNA profiling by next-generation sequencing

37. High-throughput semiquantitative analysis of insertional mutations in heterogeneous tumors.

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