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Title: A statistical analysis for Next-Generation Sequencing data with a small number of samples

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Abstract:

In this talk, approaches to genomic and transcriptomic data with small sample sizes will be provided. Specifically, a new strategy called multiphasic analysis for familiar genomic data is suggested. Appling the strategy to a Mendelian disease, the strategy shows how it efficiently weed out a disease-causing variant from various candidates. For transcriptomic data, a method is proposed for differential expression analysis, which can be applicable to RNA-Seq data with a small (even with non-replicated) number of replicates. The validity of the proposed method is provided by applying it to various real and simulated datasets and comparing the results to those obtained from other competing methods.

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Keywords: NGS, RNA-Seq, Exome-Seq, Statistical analysis, Small sample size

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