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

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一再烦扰

Entwicklung des Untersuchungsmodells,, and in post-processing of sequence alignments. Our key result states a simple recursive relationship between maximal-scoring segment sets. The statement leads to an algorithm that finds such a .-set of segments in a sequence of length . in .(.) time. We describe linear-time algorithms for finding

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Mucosa

https://doi.org/10.1007/978-3-658-35481-7or mismatches. Specifically, we assume that the input textstring . of . characters is produced by an i.i.d. source, and design efficient methods for computing the probability and expected number of occurrences for substrings of . with (either . or .) . mismatches. Two related schemes are presented.

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https://doi.org/10.1007/978-3-658-35481-7lgorithms: . For this purpose, we use the Waterman-Eggert algorithm for suboptimal local alignments as template and introduce two new features therein: 1) an alignment of two strings over a set of score functions and 2) a switch cost function . for penalizing jumps into a different scoring scheme wi

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小鹿

https://doi.org/10.1007/978-3-476-04163-0de on which no experimental data are given. Finding a good expansion (a new hidden node and its neighborhood) can point to regions where the model is not rich enough, and help locate new, unknown variables that are important for understanding the network. We study the computational complexity of thi

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https://doi.org/10.1007/978-3-322-88586-9uire multiple genomic alterations, some of which drive the process by triggering overexpression of oncogenes and by silencing tumor suppressors and DNA repair genes. We present data analysis methods designed to study the overall transcriptional effects of DNA copy number alterations. Alterations can

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