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1.
Eraslan, G. ; Avsec, Ž.* ; Gagneur, J.* & Theis, F.J.: Deep learning: New computational modelling techniques for genomics. Nat. Rev. Genet. 20, 389-403 (2019)
2.
Gurdasani, D.* ; Barroso, I.* ; Zeggini, E. & Sandhu, M.S.*: Genomics of disease risk in globally diverse populations. Nat. Rev. Genet. 20, 520–535 (2019)
3.
Gurdasani, D.* ; Barroso, I.* ; Zeggini, E. & Sandhu, M.S.*: Author Correction: Genomics of disease risk in globally diverse populations. Nat. Rev. Genet., accepted (2019)
4.
Stricker, S.H. ; Köferle, A.* & Beck, S.*: From profiles to function in epigenomics. Nat. Rev. Genet. 18, 51-66 (2017)
5.
Taudt, A.* ; Colomé-Tatché, M. & Johannes, F.*: Genetic sources of population epigenomic variation. Nat. Rev. Genet. 17, 319-332 (2016)
6.
Suhre, K. & Gieger, C.: Genetic variation in metabolic phenotypes: Study designs and applications. Nat. Rev. Genet. 13, 759-769 (2012)
7.
Beckers, J. ; Wurst, W. & Hrabě de Angelis, M.: Towards better mouse models: Enhanced genotypes, systemic phenotyping and envirotype modelling. Nat. Rev. Genet. 10, 371-380 (2009)
8.
Rogowski, W.H. ; Grosse, S.D.* & Khoury, M.J.*: Challenges of translating genetic tests into clinical and public health practice. Nat. Rev. Genet. 10, 489-495 (2009)
9.
Graw, J. et al.: Haemophilia A: From mutation analysis to new therapies. Nat. Rev. Genet. 6, 488-501 (2005)
10.
Speicher, M.R. & Carter, N.P.*: The new cytogenetics: Blurring the boundaries with molecular biology. Nat. Rev. Genet. 6, 782-792 (2005)
11.
Graw, J.: The genetic and molecular basis of congenital eye defects. Nat. Rev. Genet. 4, 876-888 (2003)