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New Evaluation Measures for Multifactor Dimensionality Reduction in SNP-SNP Interaction Analysis
2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE), 2020Studies have proven that single nucleotide polymorphism (SNP)-SNP interaction detection is helpful for understanding the susceptibility of an individual to genetic diseases. Although multifactor dimensionality reduction (MDR) is an effective SNP-SNP interaction detection algorithm, the mechanism of SNP-SNP interaction detection based on MDR contingency
Cheng-Hong Yang 0001 +3 more
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Pathway Analysis for SNP microarray data
2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019Pathway Analysis (PA) is a powerful method for data analysis in genomics, most often applied to gene expression analysis, but little used to analyze variants such as Single Nucleotide Polymorphisms (SNPs). PA could allow the interpretation of variants concerning the biological processes in which the affected genes and proteins are involved.
Giuseppe Agapito +2 more
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SNP analysis to dissect human traits
Current Opinion in Neurobiology, 2001The analysis of complex human diseases has been spurred by the number of published genomic sequence variants - many identified in the course of sequencing the human genome. But, to be useful for genetic analysis, variants have to be mapped accurately, their frequencies in various populations determined, and automated high-throughput assay techniques ...
P, Nowotny, J M, Kwon, A M, Goate
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A GENTLE INTRODUCTION TO SNP ANALYSIS: RESOURCES AND TOOLS
Journal of Bioinformatics and Computational Biology, 2007Bioinformatics is the use of informatics tools and techniques in the study of molecular biology, genetic, or clinical data. The field of bioinformatics has expanded tremendously to cope with the large expansion of information generated by the mouse and human genome projects, as newer generations of computers that are much more powerful have emerged in ...
Mah, J.T.L., Chia, K.S.
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2019
In this chapter, resources, including dbSNP, HapMap, PharmGKB and ANNOVAR that are required for SNP data analysis and interpretation, are explained. We establish a strategy of how to query these resources in order to answer our questions and obtain information. Actual practice examples for each system are used.
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In this chapter, resources, including dbSNP, HapMap, PharmGKB and ANNOVAR that are required for SNP data analysis and interpretation, are explained. We establish a strategy of how to query these resources in order to answer our questions and obtain information. Actual practice examples for each system are used.
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Multi-SNP Haplotype Analysis Methods for Association Analysis
2011This chapter reviews the rationale for the use of haplotypes in association-based testing, discusses statistical issues related to haplotype uncertainty that complicate the analysis, then gives practical guidance for testing haplotype-based associations with phenotype or outcome trait, first of candidate gene regions and then for the genome as a whole.
Daniel O, Stram, Venkatraman E, Seshan
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SNP: Nonparametric Time Series Analysis
2008SNP is a method of multivariate nonparametric time series analysis. SNP is an abbreviation of ‘semi-nonparametric’ which was introduced by Gallant and Nychka (1987) to suggest the notion of a statistical inference methodology that lies halfway between parametric and nonparametric inference.
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A DNA microarray system for forensic SNP analysis
Forensic Science International, 2005Forensic DNA analysis is routinely performed using polymorphic short tandem repeat (STR) markers. However, for degraded or minute DNA samples, analysis of autosomal single nucleotide polymorphisms (SNPs) in short fragments might be more successful. Furthermore, sequencing of mitochondrial DNA (mtDNA) is often performed on highly degraded or scarce ...
Anna-Maria, Divne, Marie, Allen
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Mixture analysis using SWaP™ SNPs and non-biallelic SNPs
International Congress Series, 2006Abstract Improved analysis of degraded samples, increased throughput, and a wider choice of typing platforms are some of the significant advantages offered by single nucleotide polymorphism (SNP) genotyping over established short tandem repeat (STR)-based systems.
E. Musgrave-Brown +8 more
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SNP and Haplotype Analysis – Algorithms and Applications
2006The recent release of the Haplotype Mapping project (Nature, Oct. 26, 2005 – see also, e.g., NY Times, Oct. 27), and the rapid reduction in genotyping costs open new directions and opportunities in the study of complex genetic disease such as cancer or Alzheimer's disease.
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