8,497 research outputs found

    Multiobjective optimization in bioinformatics and computational biology

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    An Analysis of Scripting Languages for Research in Applied Computing

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    There are several scripting languages that exist today. However, some are used more frequently and popular than others. This is due to certain characteristics and features that they possess. Particularly in applied computing fields like software engineering, bioinformatics and computational biology, scripting languages are gaining popularity. This paper presents a comparative study of ten popular scripting languages that are used in the above mentioned fields/area. For making comparison, we have identified the factors against which these languages are evaluated. Accordingly, based on selected criteria we determine their suitability in the fields of software engineering, bioinformatics and computational biology research. This will serve as a guide to researchers to choose the appropriate scripting language in the various fields

    Flexible and robust networks

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    We consider networks with two types of nodes. The v-nodes, called centers, are hyper- connected and interact one to another via many u-nodes, called satellites. This central- ized architecture, widespread in gene networks, possesses two fundamental properties. Namely, this organization creates feedback loops that are capable to generate practically any prescribed patterning dynamics, chaotic or periodic, or having a number of equilib- rium states. Moreover, this organization is robust with respect to random perturbations of the system.Comment: Journal of Bioinformatics and Computational Biology, in pres

    Computational Biology in Brazil

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    Increased economic activity boosted research investment. Government policies for research and development. Genomics and bioinformatics. The current state of computational biology: services versus research. Is there applied science without science to be applied? Knowledge derived from genomics projects. Brazilian association for bioinformatics and computational biology. Opportunites for entrepreneurship. Educational activities. Acknowledgments
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