By Do K.-A., Qin Z.S., Vannucci M. (eds.)
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Extra info for Advances in Statistical Bioinformatics: Models and Integrative Inference for High-Throughput Data
Small RNAs as guardians of the genome. Cell, 136, 656–668. Martens, J. H. , Stunnenberg, H. , and Logie, C. 2011. The decade of the epigenomes? Genes Cancer, 2, 680–687. McCarthy, D. , and Smyth, G. K. 2012. Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation. , 40, 4288–4297. McCormick, K. , Willmann, M. , and Meyers, B. C. 2011. Experimental design, preprocessing, normalization and differential expression analysis of small RNA and sequencing experiments.
2010). As with any other analytical model, one cannot simply gather data without asking questions first. Given the extremely large data sets and broad scope of NGS integration studies, constructing models that can predict the responses of the complex molecular environments, for example, to drugs or combinations of drugs, requires careful planning. Some strategies include combining genome and RNAi sequencing to filter out genes associated with target cellular processes, such as proliferation and cell death.
Hagen, J. , Carpenter, C. , and Laird-Offringa, I. A. 2002. DNA methylation analysis: a powerful new tool for lung cancer diagnosis. Oncogene, 21, 5450–5461. Wang, H. , Zhang, S. , Liao, Z. , et al. 2010. PEGylated magnetic polymeric liposome anchored with TAT for delivery of drugs across the blood-spinal cord barrier. Biomaterials, 31, 6589–6596. , Carlton, V. E. , et al. 2009. High quality copy number and genotype data from FFPE samples using Molecular Inversion Probe (MIP) microarrays. BMC Med.