Titlebook: Combinatorial Pattern Matching; 7th Annual Symposium Dan Hirschberg,Gene Myers Conference proceedings 1996 Springer-Verlag Berlin Heidelber

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骗子

我的巨大

Inclusive and Accessible SMART City for Allel use of the suffix tree of a string. In implementing our approach, we design optimal parallel algorithms for the problem of determining . on a edge-weighted tree that may be of independent interest.

muster

Mike Eissele,Daniel Weiskopf,Thomas Ertls trees that on every input are at least as resolved as the standard models (strict consensus and majority tree) in use. Finally, we show that the AMT combines desirable features of many of the standard consensus tree models in use.

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Computing discoveries in molecular biology,ate quantitative models of biological phenomena and it is the existence of these models that explains the contrast described above. I will present an overview of the productivity paradox, as well as examples of biological discoveries made possible by computers. I will then discuss lessons we can learn from the productivity paradox.

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Approximate multiple string search,here unsuccessful searches are not uncommon. Two-level hashing may be useful for many other applications. The end result is also interesting by itself. We show that multiple search with one error is fast enough for most text applications.

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Perfect hashing for strings: Formalization and algorithms,el use of the suffix tree of a string. In implementing our approach, we design optimal parallel algorithms for the problem of determining . on a edge-weighted tree that may be of independent interest.

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,The asymmetric median tree — A new model for building consensus trees,s trees that on every input are at least as resolved as the standard models (strict consensus and majority tree) in use. Finally, we show that the AMT combines desirable features of many of the standard consensus tree models in use.

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https://doi.org/10.1007/3-540-61258-0Matching; algorithm; algorithmics; algorithms; biology; data compression; pattern recognition; algorithm an