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1. Deep interpretability for GWAS

5. Supplementary table 1 from Nonsense-Mediated RNA Decay Is a Unique Vulnerability of Cancer Cells Harboring SF3B1 or U2AF1 Mutations

6. Supplementary table 3 from Nonsense-Mediated RNA Decay Is a Unique Vulnerability of Cancer Cells Harboring SF3B1 or U2AF1 Mutations

7. Supplementary figures and legends from Nonsense-Mediated RNA Decay Is a Unique Vulnerability of Cancer Cells Harboring SF3B1 or U2AF1 Mutations

8. Supplementary methods from Nonsense-Mediated RNA Decay Is a Unique Vulnerability of Cancer Cells Harboring SF3B1 or U2AF1 Mutations

9. Supplementary table 2 from Nonsense-Mediated RNA Decay Is a Unique Vulnerability of Cancer Cells Harboring SF3B1 or U2AF1 Mutations

14. Supplementary figures and legends from Nonsense-Mediated RNA Decay Is a Unique Vulnerability of Cancer Cells Harboring SF3B1 or U2AF1 Mutations

15. Data from Nonsense-Mediated RNA Decay Is a Unique Vulnerability of Cancer Cells Harboring SF3B1 or U2AF1 Mutations

20. Mapping the human genetic architecture of COVID-19

21. Uncovering the Contribution of Moderate-Penetrance Susceptibility Genes to Breast Cancer by Whole-Exome Sequencing and Targeted Enrichment Sequencing of Candidate Genes in Women of European Ancestry

22. Dicer prevents genome instability in response to replication stress

24. Context-dependent pro- and anti-resection roles of ZKSCAN3 in the regulation of fork processing during replication stress

26. Hemolacria revealing a primary nasolacrimal duct melanoma

27. Abstract 803: Identifying a RAD18/UBC13-dependent mechanism of replication fork recovery to modulate chemoresponse in BRCA1-deficient cancers

28. Nonsense-Mediated RNA Decay Is a Unique Vulnerability of Cancer Cells Harboring SF3B1 or U2AF1 Mutations

29. Mapping the human genetic architecture of COVID-19

30. Nonsense-Mediated RNA Decay Is a Unique Vulnerability of Cancer Cells Harboring

31. Nonsense Mediated RNA Decay Is a Unique Vulnerability of Cancer Cells with SF3B1 and U2AF1 Mutations

32. Spinal paraganglioma

33. Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes.

34. Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes

35. Fine-mapping of 150 breast cancer risk regions identifies 178 high confidence target genes

38. Ca2+-Stimulated AMPK-Dependent Phosphorylation of Exo1 Protects Stressed Replication Forks from Aberrant Resection

41. DNA Fiber Analysis: Mind the Gap!

42. Paragangliome spinal

44. Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer

45. Association of breast cancer risk in BRCA1 and BRCA2 mutation carriers with genetic variants showing differential allelic expression: identification of a modifier of breast cancer risk at locus 11q22.3

46. Association of breast cancer risk in BRCA1 and BRCA2 mutation carriers with genetic variants showing differential allelic expression

47. Association of breast cancer risk in BRCA1 and BRCA2 mutation carriers with genetic variants showing differential allelic expression: identification of a modifier of breast cancer risk at locus 11q22.3

48. Association analysis identifies 65 new breast cancer risk loci

49. Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer

50. Association of breast cancer risk in BRCA1 and BRCA2 mutation carriers with genetic variants showing differential allelic expression: identification of a modifier of breast cancer risk at locus 11q22.3

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