dc.contributor.authorSun, Ruimin
dc.contributor.authorGao, Xiang
dc.contributor.authorHan, Nanyu
dc.contributor.authorWu, Qiong
dc.contributor.authorMu, Yuguang
dc.contributor.authorTang, Kai
dc.contributor.authorChen, Xin
dc.date.accessioned2013-10-25T02:07:35Z
dc.date.available2013-10-25T02:07:35Z
dc.date.copyright2012en_US
dc.date.issued2012
dc.identifier.citationSun, R., Gao, X., Han, N., Wu, Q., Mu, Y., Tang, K., et al. (2012). Accurate detection of SNPs using base-specific cleavage and mass spectrometry. 2012 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp.1-4.en_US
dc.identifier.urihttp://hdl.handle.net/10220/16876
dc.description.abstractAccurate detection of single-nucleotide polymorphisms (SNPs) is crucial for the success of many downstream analyses such as clinical diagnosis, virus identification, genetic mapping and association studies. Among many others, one valuable approach for SNP detection is based on the base-specific cleavage of single-stranded nucleic acids followed by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) analysis. In this paper, we present a new SNP detection algorithm, which in particular permits an efficient and effective integration of the information in four complementary base-specific mass spectra. The new algorithm was implemented in a program called SnpMs. Comparative evaluation has been carried out on both simulated and real biological datasets, where experimental results clearly demonstrated the high ability of SnpMs as a tool to accurately detect SNPs.en_US
dc.language.isoenen_US
dc.subjectDRNTU::Science::Biological sciences
dc.subjectDRNTU::Science::Chemistry
dc.titleAccurate detection of SNPs using base-specific cleavage and mass spectrometryen_US
dc.typeConference Paper
dc.contributor.conferenceIEEE International Conference on Bioinformatics and Biomedicine (2012 : Philadelphia, US)en_US
dc.contributor.schoolSchool of Biological Sciencesen_US
dc.contributor.schoolSchool of Physical and Mathematical Sciencesen_US
dc.identifier.doihttp://dx.doi.org/10.1109/BIBM.2012.6392727
dc.identifier.rims167807


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