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With the development of the human genome project, scientists have obtained a large number of biological sequences which needed to be processed and analyzed. In this paper, we characterized the biological relationship between virus and host cell by using alignment-free sequence comparison statistics such as, D2S, D2*, Hao, Eu and Ch. By using sequence alignment-free comparison, we acquired sequence...
We report the operation of a highly sensitive, tunable and stable RF interferometer, which is based on quadrature-hybrids. The interferometer is used to characterize and analyze DNA molecules, pBluescript (SK+) and pET21a, in ∼1 nL DI water solutions. The obtained RF sensitivity at ∼10 GHz is better than ∼3×10−15 mol/mL, which is close to the previously reported highest result. DNA molecular compositions...
Its important for revealing the formation mechanism of quality and flavor of Chenxiang Tea of Guangdong that confirm the taxonomic status of dominant fungi species in the tea during its piled up fermentation. A dominant fungus H-15 was isolated from the Chenxiang Tea during its piled up fermentation, and classification had been conducted by morphological and molecular biology methods. 5.8SrDNA-ITS...
Structural variation (SV) has been reported to be associated with numerous diseases such as cancer. With the advent of next generation sequencing (NGS) technologies, various types of SV can be potentially identified. We propose a model based clustering approach utilizing a set of features defined for each type of SV event. Our method, termed SVMiner, not only provides a probability score for each...
With the rapid development of high-throughput genotyping technologies, more and more attentions are paid to the disease association study identifying DNA variations that are highly associated with a specific disease. One main challenge for this study is to find the optimal subsets of Single Nucleotide Polymorphisms (SNPs) which are most tightly associated with diseases. Feature selection has become...
Accurate prediction of splice sites in DNA sequences is a challenging problem in bioinformatics. The splice site prediction still faces many tough challenges, and above all is that it is not clear how many and which features are relevant with the splicing process. So feature selection is often used to improve the prediction accuracy, and it will also provide us with useful biological knowledge. On...
Splice sites detection is helpful to the analysis of gene structure and contributes to the prediction of gene products, so it is one of the most important topics in bioinformatics. With the rapid increase of biological data, faster splice sites detecting methods are more appreciated. Markov model and hidden Markov model not only are low-time-cost, but also easy to understand. Besides the detecting...
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