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
2010;11:220. the same chance as every other fragment of being sequenced, the number of reads for the cDNA fragment of interest indicates its frequency in the sample. , 2012). , 2011). 2). , 2011). See Chapter 8 for an example of such analysis. To decrease the size of data sets and lessen complexity, subsets of RNA are also sequenced. Each subset provides information on a different aspect of changes in RNA biology. For instance, mRNA, noncoding RNA, and miRNA can be specifically sequenced using RNA-Seq.
Work on these technological advances is continuous, and not just because of the impetus of the X Prize. Cheaper, faster sequencing of genomes, epigenomes, and transcriptomes is expected to fundamentally change both molecular biology research and clinical practice. 1 lists some commonly used singlemolecule sequencers and also sequencing techniques under development. 1 Whole-Genome and Whole-Exome Sequencing One of the catchphrases of NGS is the “$1,000 genome” – that is, the threshold of being able to sequence an entire human genome for $1,000.
Et al. 2009. High quality copy number and genotype data from FFPE samples using Molecular Inversion Probe (MIP) microarrays. BMC Med. Genomics, 2, 8. , et al. 2007. Analysis of molecular inversion probe performance for allele copy number determination. , 8, 246. Watts, J. , Deleavey, G. , and Damha, M. J. 2008. Chemically modified siRNA: tools and applications. Drug Discov. Today, 13, 842–855. , Liotta, L. , and Petricoin, E III. 2010. Monitoring proteins and protein networks using reverse phase protein arrays.
Advances in Statistical Bioinformatics: Models and Integrative Inference for High-Throughput Data by Do K.-A., Qin Z.S., Vannucci M. (eds.)