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Computing analysis of gene expression data has been an essential approach for understanding cellular activities and identifying gene function. However, expression profiles generated by the high-throughput microarray experiments often contain missing values, which significantly affect the performance of subsequent statistical analysis and machine learning algorithms. So there is a great need for estimating...
DNA sequence assembly is a fundamental part of biological computing. However, most of the large-scale sequence assemblies require intensive computing power and huge storage. To speed up the assembly process, we here propose a method for large-scale DNA sequence assembly by using computing grid. The central idea of our method is to first cluster the input of fragment set into many non-intersected subsets...
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