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Titlebook: Advances in Bioinformatics and Computational Biology; 7th Brazilian Sympos Marcilio C. Souto,Maricel G. Kann Conference proceedings 2012 Sp

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樓主: 手套
11#
發(fā)表于 2025-3-23 10:44:09 | 只看該作者
Bubble Dynamics and Interface Phenomenaproteins. Protein folding pathways are also presented and discussed. This work also offered new reference values for five benchmark sequences. Future works will investigate parallel versions of the presented approach and more experiments to create new bechmarks.
12#
發(fā)表于 2025-3-23 15:07:53 | 只看該作者
Experimental studies of bubble collapseetabolism is not yet fully understood. Here we present a novel Z-DNA analysis workflow using the R software environment which aims to investigate Z-DNA forming regions (ZDRs) throughout the genome. It combines thermodynamic analysis of the well-known software . with biological data manipulation capa
13#
發(fā)表于 2025-3-23 19:22:50 | 只看該作者
14#
發(fā)表于 2025-3-24 01:27:39 | 只看該作者
15#
發(fā)表于 2025-3-24 03:56:35 | 只看該作者
16#
發(fā)表于 2025-3-24 09:10:31 | 只看該作者
Nonlinear Wave Propagation in Bubbly Liquidsf cancer samples, associated with the detection of previously unknown cancer subtypes. Although guidelines have been established concerning the choice of appropriate clustering algorithms, little attention has been given to the subject of proximity measures. Whereas the Pearson correlation coefficie
17#
發(fā)表于 2025-3-24 12:09:56 | 只看該作者
Bubble Dynamics and Shock Wavesng haplotype information from genotype data have been developed, but none is perfect. Haplotype Inference (HI) approaches based on different strategies or biological principles tend to fail in different loci. In this work we apply Multiple Linear Regression to explore the relevance of several biolog
18#
發(fā)表于 2025-3-24 14:57:11 | 只看該作者
19#
發(fā)表于 2025-3-24 20:55:58 | 只看該作者
20#
發(fā)表于 2025-3-25 02:06:09 | 只看該作者
Thermally Controlled Bubble Growth,ns. Because of the computational burden of processing hundreds of thousands of trees, unless this procedure is efficiently implemented, the analyses are of limited applicability. In this paper, we present a highly parallel and efficient implementation for calculating phylogenetic distances. By using
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