Download e-book for kindle: Advances in Statistical Bioinformatics: Models and by Do K.-A., Qin Z.S., Vannucci M. (eds.)

By Do K.-A., Qin Z.S., Vannucci M. (eds.)

ISBN-10: 1107027527

ISBN-13: 9781107027527

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Extra resources for Advances in Statistical Bioinformatics: Models and Integrative Inference for High-Throughput Data

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Gascoigne, D. , et al. 2011. lncRNAdb: a reference database for long noncoding RNAs. , 39(Suppl 1), D146–151. , and Bird, A. 1993. Number of CpG islands in human and mouse. Proc. Natl. Acad. Sci. , 90, 11195–11999. , and Prilliman, K. R. 2004. RNA interference: the molecular immune system. J. Mol. , 35, 545–553. Bartel, D. P. 2009. MicroRNAs: target recognition and regulatory functions. Cell, 136, 215–233. Beezhold, K. , and Chen, F. 2010. Microprocessor of miRNAs: regulation and potential for therapeutic intervention.

And Hacohen, N. 2011. Principles and strategies for developing network models in cancer. Cell, 144, 864–873. , and Ahmadian, A. 2009. Generations of sequencing technologies. Genomics, 93, 105–111. , et al. 2011. Discovery of novel human breast cancer microRNAs from deep sequencing data by analysis of pri-microRNA secondary structures. PLoS ONE, 6, e16403. , et al. 2011. A role for human Dicer in pre-RISC loading of siRNAs. , 39, 1510–1525. , and Coulson, A. R. 1975. A rapid method for determining sequences in DNA by primed synthesis with DNA polymerase.

4 Bisulfite conversion. Reprinted with permission from Zilberman D and Henikoff S. Genome-wide analysis of DNA methylation patterns. Development 2007;134:3959. (See color plate). are treated with sodium bisulfate. 4). With earlier sequencing technologies, such as microarrays, the analysis of bisulfate-treated DNA was extremely cumbersome, but it is very well suited to single-molecule, NGS technologies (Laird, 2010). BS-Seq remains, however, a complex process. Methylation occurs differently on each strand of DNA, so four strands must be analyzed: each bisulfite-treated strand and two reference strands.

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Advances in Statistical Bioinformatics: Models and Integrative Inference for High-Throughput Data by Do K.-A., Qin Z.S., Vannucci M. (eds.)


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