46 results on '"Nuzhdin, Sergey V."'
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2. Additional file 10 of Genotyping and lipid profiling of 601 cultivated sunflower lines reveals novel genetic determinants of oil fatty acid content
3. Additional file 5 of Genotyping and lipid profiling of 601 cultivated sunflower lines reveals novel genetic determinants of oil fatty acid content
4. Additional file 9 of Genotyping and lipid profiling of 601 cultivated sunflower lines reveals novel genetic determinants of oil fatty acid content
5. Additional file 6 of Genotyping and lipid profiling of 601 cultivated sunflower lines reveals novel genetic determinants of oil fatty acid content
6. Additional file 1 of Genotyping and lipid profiling of 601 cultivated sunflower lines reveals novel genetic determinants of oil fatty acid content
7. Additional file 6 of Genotyping and lipid profiling of 601 cultivated sunflower lines reveals novel genetic determinants of oil fatty acid content
8. Additional file 3 of Genotyping and lipid profiling of 601 cultivated sunflower lines reveals novel genetic determinants of oil fatty acid content
9. Additional file 8 of Genotyping and lipid profiling of 601 cultivated sunflower lines reveals novel genetic determinants of oil fatty acid content
10. Additional file 7 of Genotyping and lipid profiling of 601 cultivated sunflower lines reveals novel genetic determinants of oil fatty acid content
11. Additional file 2 of Genotyping and lipid profiling of 601 cultivated sunflower lines reveals novel genetic determinants of oil fatty acid content
12. Additional file 4 of Genotyping and lipid profiling of 601 cultivated sunflower lines reveals novel genetic determinants of oil fatty acid content
13. Additional file 9 of Genotyping and lipid profiling of 601 cultivated sunflower lines reveals novel genetic determinants of oil fatty acid content
14. Additional file 7 of Power calculator for detecting allelic imbalance using hierarchical Bayesian model
15. Additional file 3 of Power calculator for detecting allelic imbalance using hierarchical Bayesian model
16. Additional file 22 of Genotyping and lipid profiling of 601 cultivated sunflower lines reveals novel genetic determinants of oil fatty acid content
17. Additional file 12 of Genotyping and lipid profiling of 601 cultivated sunflower lines reveals novel genetic determinants of oil fatty acid content
18. Additional file 11 of Genotyping and lipid profiling of 601 cultivated sunflower lines reveals novel genetic determinants of oil fatty acid content
19. Additional file 5 of Power calculator for detecting allelic imbalance using hierarchical Bayesian model
20. Additional file 1 of Power calculator for detecting allelic imbalance using hierarchical Bayesian model
21. Additional file 23 of Genotyping and lipid profiling of 601 cultivated sunflower lines reveals novel genetic determinants of oil fatty acid content
22. Additional file 7 of Genotyping and lipid profiling of 601 cultivated sunflower lines reveals novel genetic determinants of oil fatty acid content
23. Additional file 4 of Power calculator for detecting allelic imbalance using hierarchical Bayesian model
24. Additional file 11 of RNA-seq: technical variability and sampling
25. Additional file 16 of RNA-seq: technical variability and sampling
26. Additional file 1 of RNA-seq: technical variability and sampling
27. Additional file 12 of RNA-seq: technical variability and sampling
28. Additional file 4 of Multi-trait multi-locus SEM model discriminates SNPs of different effects
29. Additional file 15 of RNA-seq: technical variability and sampling
30. Additional file 17 of RNA-seq: technical variability and sampling
31. Additional file of RNA-seq: technical variability and sampling
32. Additional file 10 of RNA-seq: technical variability and sampling
33. Additional file 1 of Multi-trait multi-locus SEM model discriminates SNPs of different effects
34. Additional file 3 of Multi-trait multi-locus SEM model discriminates SNPs of different effects
35. Additional file 13 of RNA-seq: technical variability and sampling
36. Additional file 14 of RNA-seq: technical variability and sampling
37. Additional file 5 of Multi-trait multi-locus SEM model discriminates SNPs of different effects
38. Additional file 1 of Bayesian model selection for the Drosophila gap gene network
39. Does chromatin diminution affect invertebrate genome assembly?
40. The Draft Genome of Ruditapes philippinarum (the Manila clam)
41. Rhynchospio foliosa Imajima 1991
42. Molecular analysis of six Rhynchospio Hartman, 1936 species (Annelida: Spionidae) with comments on the evolution of brooding within the group
43. Rhynchospio darwini Radashevsky 2015
44. Sex-Specific Expression of Alternative Transcripts in Drosophila
45. The complete mitochondrial genome of the grooved carpet shell,Ruditapes decussatus(Bivalvia, Veneridae)
46. Parallel Gene Expression Differences between Low and High Latitude Populations of Drosophila melanogaster and D. simulans
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