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Emerging next-generation sequencing technologies have opened up exciting new opportunities for genome sequencing by generating read data with a massive throughput. However, the generated reads are significantly shorter compared to the traditional Sanger shotgun sequencing method. This poses challenges for de novo assembly algorithms in terms of both accuracy and efficiency. And due to the continuing...
Emerging next-generation sequencing technologies have opened up exciting new opportunities for genome sequencing by generating read data with a massive throughput. However, the generated reads are significantly shorter compared to the traditional Sanger shotgun sequencing method. This poses challenges for de novo assembly algorithms in terms of both accuracy and efficiency. And due to the continuing...
The development of next-generation sequencing technologies has revolutionized the genome research and given rise to the explosive increase of DNA sequencing throughput. However, due to the continuing explosive growth of short-read database, these technologies face the challenges of short overlap and high throughput. The de Bruijn graph is particularly suitable for short-read assemblies, and its advantage...
Metabolic pathways constructed from sequenced genomes or transcriptomes can not only help predict metabolic phenotypes and discover enzyme but also provide an essential context for understanding comprehensive experimental data and the systematic workings of a cell. In the present study we compared the metabolic pathways of two Actinobacillus pleuropneumoniae strains by Pathway Tools, a web-based pathway...
The complex Interconnections between markers and polygenic genotype value suggested that the regression was not enough for describing the relation between genes and traits. Artificial neural networks (ANNs) could perform well for optimization in complex non-linear systems. Recently, artificial neural networks had been successfully used to predict the polygenic genotype value, and the different learning...
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