14 research outputs found

    Finding Nested Common Intervals Efficiently

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    International audienceIn this paper, we study the problem of effi ciently fi nding gene clusters formalized by nested common intervals between two genomes represented either as permutations or as sequences. Considering permutations, we give several algorithms whose running time depends on the size of the actual output rather than the output in the worst case. Indeed, we first provide a straightforward O(n^3) time algorithm for finding all nested common intervals. We reduce this complexity by providing an O(n^2) time algorithm computing an irredundant output. Finally, we show, by providing a third algorithm, that fi nding only the maximal nested common intervals can be done in linear time. Considering sequences, we provide solutions (modi cations of previously de ned algorithms and a new algorithm) for di fferent variants of the problem, depending on the treatment one wants to apply to duplicated genes

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    Glycoproteins: Their biological and clinical significance. II

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    “Ellipsoid-of-Revolution to Cylinder”: Transverse Aspect

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    C 10(3): The Ten Parameter Conformal Group as a Datum Transformation in Three-Dimensional Euclidean Space

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    Ellipsoid-of-Revolution to Tangential Plane

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    “Sphere to Cylinder”: Transverse Aspect

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    Ellipsoid-of-Revolution to Sphere and from Sphere to Plane

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    Map Projections of Alternative Structures: Torus, Hyperboloid, Paraboloid, Onion Shape and Others

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    “Ellipsoid-of-Revolution to Cylinder”: Polar Aspect

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