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SNPs are fundamental roles for various applications including medical diagnostic, phylogenies and drug design. They provide the highest-resolution genetic fingerprint for identifying disease associations and human features. Genetic variants that are near each other tend to be inherited together; these regions of linked variants are known as haplotypes. Recently, genetics researches revealed that SNPs...
With the rapid growth of biological technology, large amount of biological data can be produced in few days or months. Many of common-used tools become computation-consuming in analyzing such big biological data. Cloud computing has emerged to provide the huge amount of computing power and play important role in development of bioinformatics tools. We propose a cloud computing framework that is able...
In the 21st century, antibiotic resistance has become a crucial and growing phenomenon in contemporary medicine. Multidrug resistant leads that antibiotics cannot be used to treat infections. In this paper, we propose a novel and efficient method to identify drug resistance genes from raw reads produced by next generation sequencing technology for metagenomes. The experimental results show that the...
Currently, cloud computing has been applied to share computing resources to achieve coherence and economies of scale similar to a utility over a network. Hadoop is an widely-used open-source cloud computing environment that implements the Google MapReduce framework. Many bioinformatics tools have been developed to provide cloud services by using Hadoop. This paper proposes approaches in providing...
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