Catálogo de publicaciones - revistas

<jats:p>Whether all types of computation—including that of our own minds—can be modeled as computer programs remains an open question.</jats:p>

<jats:p>Revolutionary advances in data capture, storage, retrieval, and analysis revive questions raised by the Turing test.</jats:p>

<jats:p>During cell division, Aurora B prevents collisions between chromatin and the cytokinetic apparatus by targeting the ESCRT-III subunit CHMP4C.</jats:p>

<jats:p>A nonpharmacological approach alters the memory of drug exposure in rats and has implications for treating relapse in human addicts.</jats:p>

<jats:p>Baboons can distinguish between written words and nonwords.</jats:p>

<jats:p>A Nobel Prize–winning atmospheric chemist instrumental in discovering and publicizing the role of chlorofluorocarbons in ozone destruction.</jats:p>

<jats:p>Physiological ecologists who design computer models to predict how animals handle heat are forecasting the effects of climate change.</jats:p>

<jats:p>Among a number of innovative approaches that have modernized cell biology, modeling has a prominent yet unusual place. One popular view is that we progress linearly, from conceptual to ever more detailed models. We review recent discoveries of cell polarity mechanisms, in which modeling played an important role, to demonstrate that the experiment-theory feedback loop requires diverse models characterized by varying levels of biological detail and mathematical complexity. We argue that a quantitative model is a tool that has to fit an experimental study, and the model’s value should be judged not by how complex and detailed it is, but by what could be learned from it.</jats:p>

<jats:p> As genomic sequencing projects attempt ever more ambitious integration of genetic, molecular, and phenotypic information, a specialization of genomics has emerged, embodied in the subdiscipline of computational genomics. Models inherited from population genetics, phylogenetics, and human disease genetics merge with those from graph theory, statistics, signal processing, and computer science to provide a rich quantitative foundation for genomics that can only be realized with the aid of a computer. Unleashed on a rapidly increasing sample of the planet’s 10 <jats:sup>30</jats:sup> organisms, these analyses will have an impact on diverse fields of science while providing an extraordinary new window into the story of life. </jats:p>