By a News Reporter-Staff News Editor at Information Technology Newsweekly -- Investigators publish new report on Bioinformatics. According to news reporting out of Cambridge, United Kingdom, by VerticalNews editors, research stated, "Pairing of samples arises naturally in many genomic experiments; for example, gene expression in tumor and normal tissue from the same patients. Methods for analysing high-throughput sequencing data from such experiments are required to identify differential expression, both within paired samples and between pairs under different experimental conditions."
Our news journalists obtained a quote from the research from the University of Cambridge, "We develop an empirical Bayesian method based on the beta-binomial distribution to model paired data from high-throughput sequencing experiments. We examine the performance of this method on simulated and real data in a variety of scenarios. Our methods are implemented as part of the RbaySeq package (versions 1.11.6 and greater) available from Bioconductor (http://www.bioconductor.org). We compare our approach to alternatives based on generalised linear modelling approaches and show that our method offers significant gains in performance on simulated data. In testing on real data from oral squamous cell carcinoma patients, we discover greater enrichment of previously identified head and neck squamous cell carcinoma associated gene sets than has previously been achieved through a generalised linear modelling approach, suggesting that similar gains in performance may be found in real data."
According to the news editors, the research concluded: "Our methods thus show real and substantial improvements in analyses of high-throughput sequencing data from paired samples."
For more information on this research see: Empirical Bayesian analysis of paired high-throughput sequencing data with a beta-binomial distribution. Bmc Bioinformatics, 2013;14():135. (BioMed Central - www.biomedcentral.com/; Bmc Bioinformatics - www.biomedcentral.com/bmcbioinformatics/)
Our news journalists report that additional information may be obtained by contacting T.J. Hardcastle, Dept. of Plant Sciences, University of Cambridge, Downing Street, Cambridge, CB2 3EA, UK.
Keywords for this news article include: Europe, Genetics, Oncology, Cambridge, Carcinoma, United Kingdom, Bioinformatics.
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