Literature DB >> 20134078

Identifying the impact of G-quadruplexes on Affymetrix 3' arrays using cloud computing.

Farhat N Memon1, Anne M Owen, Olivia Sanchez-Graillet, Graham J G Upton, Andrew P Harrison.   

Abstract

A tetramer quadruplex structure is formed by four parallel strands of DNA/ RNA containing runs of guanine. These quadruplexes are able to form because guanine can Hoogsteen hydrogen bond to other guanines, and a tetrad of guanines can form a stable arrangement. Recently we have discovered that probes on Affymetrix GeneChips that contain runs of guanine do not measure gene expression reliably. We associate this finding with the likelihood that quadruplexes are forming on the surface of GeneChips. In order to cope with the rapidly expanding size of GeneChip array datasets in the public domain, we are exploring the use of cloud computing to replicate our experiments on 3' arrays to look at the effect of the location of G-spots (runs of guanines). Cloud computing is a recently introduced high-performance solution that takes advantage of the computational infrastructure of large organisations such as Amazon and Google. We expect that cloud computing will become widely adopted because it enables bioinformaticians to avoid capital expenditure on expensive computing resources and to only pay a cloud computing provider for what is used. Moreover, as well as financial efficiency, cloud computing is an ecologically-friendly technology, it enables efficient data-sharing and we expect it to be faster for development purposes. Here we propose the advantageous use of cloud computing to perform a large data-mining analysis of public domain 3' arrays.

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Year:  2010        PMID: 20134078     DOI: 10.2390/biecoll-jib-2010-111

Source DB:  PubMed          Journal:  J Integr Bioinform        ISSN: 1613-4516


  4 in total

1.  Analysis of discordant Affymetrix probesets casts serious doubt on idea of microarray data reutilization.

Authors:  Andrey Marakhonov; Nataliya Sadovskaya; Ivan Antonov; Ancha Baranova; Mikhail Skoblov
Journal:  BMC Genomics       Date:  2014-12-19       Impact factor: 3.969

2.  Opportunities and challenges of cloud computing to improve health care services.

Authors:  Alex Mu-Hsing Kuo
Journal:  J Med Internet Res       Date:  2011-09-21       Impact factor: 5.428

3.  Normalized Affymetrix expression data are biased by G-quadruplex formation.

Authors:  Hugh P Shanahan; Farhat N Memon; Graham J G Upton; Andrew P Harrison
Journal:  Nucleic Acids Res       Date:  2011-12-22       Impact factor: 16.971

4.  Motif effects in Affymetrix GeneChips seriously affect probe intensities.

Authors:  Graham J G Upton; Andrew P Harrison
Journal:  Nucleic Acids Res       Date:  2012-08-16       Impact factor: 16.971

  4 in total

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