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Tkadik G. Understanding regulatory networks requires more than computing a multitude of graph statistics: Comment on &;quot;Drivers of structural features in gene regulatory networks: From biophysical constraints to biological function&;quot; by O. C. Martin et al. Physics of Life Reviews. 2016;17:166-167. doi:10.1016/j.plrev.2016.06.005
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Sachdeva H, Barma M, Rao M. Nonequilibrium description of de novo biogenesis and transport through Golgi-like cisternae. Scientific Reports. 2016;6. doi:10.1038/srep38840
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Kamath Hosdurg C, Chatterjee S. A closer look at multiple-forking: Leveraging (in)dependence for a tighter bound. Algorithmica. 2016;74(4):1321-1362. doi:10.1007/s00453-015-9997-6
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Pietrzak KZ, Maciej S. Pseudoentropy: Lower-bounds for chain rules and transformations. In: Vol 9985. Springer; 2016:183-203. doi:10.1007/978-3-662-53641-4_8
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Dwyer N, Chen B, Chou S, Hippenmeyer S, Nguyen L, Ghashghaei T. Neural stem cells to cerebral cortex: Emerging mechanisms regulating progenitor behavior and productivity. Journal of Neuroscience. 2016;36(45):11394-11401. doi:10.1523/JNEUROSCI.2359-16.2016
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Chatterjee K, Ibsen-Jensen R, Tkadlec J. Robust draws in balanced knockout tournaments. In: Vol 2016-January. AAAI Press; 2016:172-179.
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Metzler S, Heinze J, Schrempf A. Mating and longevity in ant males. Ecology and Evolution. 2016;6(24):8903-8906. doi:10.1002/ece3.2474
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Cucinotta M, Manrique S, Guazzotti A, et al. Cytokinin response factors integrate auxin and cytokinin pathways for female reproductive organ development. Development. 2016;143(23):4419-4424. doi:10.1242/dev.143545
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De Martino D, Masoero D. Asymptotic analysis of noisy fitness maximization, applied to metabolism &;amp; growth. 10.1088/1742-5468/aa4e8f__Journal of Statistical Mechanics: Theory and Experiment. 2016;2016(12). doi:10.1088/1742-5468/aa4e8f
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Franssen S, Barton NH, Schlötterer C. Reconstruction of haplotype-blocks selected during experimental evolution. Molecular Biology and Evolution. 2016;34(1):174-184. doi:10.1093/molbev/msw210
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Hilbe C, Traulsen A. Only the combination of mathematics and agent based simulations can leverage the full potential of evolutionary modeling: Comment on “Evolutionary game theory using agent-based methods”10.1016/j.plrev.2016.10.004__by C. Adami, J. Schossau and A. Hintze. Physics of Life Reviews. 2016;19:29-31. doi:10.1016/j.plrev.2016.10.004
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Renkawitz J, Sixt MK. Formin’ a nuclear protection. Cell. 2016;167(6):1448-1449. doi:10.1016/j.cell.2016.11.024
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Milutinovic B, Peuß R, Ferro K, Kurtz J. Immune priming in arthropods: an update focusing on the red flour beetle. Zoology . 2016;119(4):254-261. doi:10.1016/j.zool.2016.03.006
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Hu F, Rishishwar L, Sivadas A, et al. Comparative genomic analysis of Haemophilus haemolyticus and nontypeable Haemophilus influenzae and a new testing scheme for their discrimination. Journal of Clinical Microbiology. 2016;54(12):3010-3017. doi:10.1128/JCM.01511-16
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Amir A, Lemeshko M, Tokieda T. Surprises in numerical expressions of physical constants. American Mathematical Monthly. 2016;123(6):609-612. doi:10.4169/amer.math.monthly.123.6.609
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Redchenko E, Lemeshko M. Libration of strongly oriented polar molecules inside a superfluid. ChemPhysChem. 2016;17(22):3649-3654. doi:10.1002/cphc.201601042
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Letts JA, Degliesposti G, Fiedorczuk K, Skehel M, Sazanov LA. Purification of ovine respiratory complex i results in a highly active and stable preparation. Journal of Biological Chemistry. 2016;291(47):24657-24675. doi:10.1074/jbc.M116.735142
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Zhu Q, dádníková P, Smet D, Van Der Straeten D, Benková E. Real time analysis of the apical hook development. In: Plant Hormones. Vol 1497. Humana Press; 2016:1-8. doi:10.1007/978-1-4939-6469-7_1
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