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5052 Publications
2018 | Journal Article | IST-REx-ID: 131 | 
Picard MAL, Cosseau C, Ferré S, Quack T, Grevelding C, Couté Y, Vicoso B. 2018. Evolution of gene dosage on the Z-chromosome of schistosome parasites. eLife. 7, e35684.
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| WoS
2018 | Research Data | IST-REx-ID: 5584 |
Deny S, Marre O, Botella-Soler V, Martius GS, Tkačik G. 2018. Nonlinear decoding of a complex movie from the mammalian retina, Institute of Science and Technology Austria, 10.15479/AT:ISTA:98.
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2018 | Journal Article | IST-REx-ID: 286
Ellis T, Field D, Barton NH. 2018. Efficient inference of paternity and sibship inference given known maternity via hierarchical clustering. Molecular Ecology Resources. 18(5), 988–999.
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2018 | Research Data | IST-REx-ID: 5586 |
Vicoso B. 2018. Input files and scripts from ‘Evolution of gene dosage on the Z-chromosome of schistosome parasites’ by Picard M.A.L., et al (2018), Institute of Science and Technology Austria, 10.15479/AT:ISTA:109.
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2018 | Research Data | IST-REx-ID: 5583 |
Ellis T. 2018. Data and Python scripts supporting Python package FAPS, Institute of Science and Technology Austria, 10.15479/AT:ISTA:95.
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2018 | Research Data | IST-REx-ID: 5569 |
Bergmiller T, Nikolic N. 2018. Time-lapse microscopy data, Institute of Science and Technology Austria, 10.15479/AT:ISTA:74.
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2018 | Journal Article | IST-REx-ID: 161 |
De Martino D, Mc AA, Bergmiller T, Guet CC, Tkačik G. 2018. Statistical mechanics for metabolic networks during steady state growth. Nature Communications. 9(1), 2988.
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2018 | Research Data | IST-REx-ID: 5587 |
De Martino D, Tkačik G. 2018. Supporting materials ‘STATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH’, Institute of Science and Technology Austria, 10.15479/AT:ISTA:62.
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2018 | Journal Article | IST-REx-ID: 542 |
Kelemen RK, Vicoso B. 2018. Complex history and differentiation patterns of the t-haplotype, a mouse meiotic driver. Genetics. 208(1), 365–375.
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2018 | Journal Article | IST-REx-ID: 5751 |
Pavlogiannis A, Tkadlec J, Chatterjee K, Nowak MA. 2018. Construction of arbitrarily strong amplifiers of natural selection using evolutionary graph theory. Communications Biology. 1(1), 71.
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