Titlebook: Algorithms in Bioinformatics; 4th International Wo Inge Jonassen,Junhyong Kim Conference proceedings 2004 Springer-Verlag Berlin Heidelberg

Ordeal

Solving the Protein Threading Problem by Lagrangian Relaxationon. The Lagrangian relaxations are computed using a dynamic programming algorithm. The experimental results show that our algorithm outperforms the commonly used methods. The proposed algorithm is general enough and can be easily plugged in most of the threading tools in order to increase their performance.

猜忌

osteoclasts

https://doi.org/10.1007/978-3-476-04163-0.), where . is the size of the lattice, . is the size of the alphabet and . is the size of the sample. We present a new algorithm that is practically as reliable as Hertz and Stormo’s and has a complexity of .(.log .). An interesting feature of our algorithm is that it can guarantee the quality of its estimated p-value.

detach

Die Macht kollektiver Selbstbilder,y various protein sequence analysis methods) with the developed approach. We chose SwissProt keywords as the set of features on which to perform our analysis. From the presented results one can quickly obtain the best combinations of methods appropriate for the description of a given class of proteins.

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植物群

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Entwicklung des Untersuchungsmodells,optimal segment sets using different criteria for choosing?., as well as an algorithm for finding an optimal set of?. segments in?.(.log .) time, independently of?.. We apply our methods to the identification of non-coding RNA genes in thermophiles.

Acumen