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Network theory has been used for modeling biological data as well as social networks, transportation logistics, business transcripts, and many other types of data sets. Identifying important features/parts of these networks for a multitude of applications is becoming increasingly significant as the need for big data analysis techniques grows. When analyzing a network of protein-protein interactions...
Correlation networks have been used in biological networks to analyze and model high-throughput biological data, such as gene expression from micro array or RNA-seq assays. Typically in biological network modeling, structures can be mined from these networks that represent biological functions, for example, a cluster of proteins in an interactome can represent a protein complex. In correlation networks...
Ribosomal RNA sequence is a popular primary molecular target in the diagnosis of many fungal and bacterial infections. More recently a number of other molecular targets like ‘cytochrome b’, ‘rpoB’, ‘actin’ is available in public databases such as GenBank. These sequences could be better alternatives to the popular ribosomal RNA as molecular targets. However, existing computational approaches do not...
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