This paper discussed the recent advances in deepsequencingdata Analysis for systems biology research. deepsequencing technologies have been primarily applied to genomic sequencing but have recently been applied for...
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This paper discussed the recent advances in deepsequencingdata Analysis for systems biology research. deepsequencing technologies have been primarily applied to genomic sequencing but have recently been applied for transcriptomic profiling or mapping histone modifications. deepsequencing technology shows clear advantages over existing profiling technologies in terms of amount of sequence coverage, revealing new transcriptomic insights, measurement of expression of different transcript isoforms and accuracy of defining transcription level. However, being a relatively newer method for transcriptomic profiling, standardized approaches for analysis of deep sequencing expression data are still being developed. The analysis and application of deepsequencingdata presents enormous challenges in the areas of machine learning, signal processing, systems theory and statistics. The emphasis of the special issue is on the latest computational challenges and finding rigorous and novel engineering approaches to tackle structural and functional systems biology problems using deepsequencing technologies
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