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Differential expression--the next generation and beyond.
Brief Funct Genomics. 2011 Dec 30;
Authors: Auer PL, Srivastava S, Doerge RW
Abstract
RNA-sequencing (RNA-seq) technologies have not only pushed the boundaries of science, but also pushed the computational and analytic capacities of many laboratories. With respect to mapping and quantifying transcriptomes, RNA-seq has certainly established itself as the approach of choice. However, as the complexities of experiments continue to grow, there is still no standard practice that allows for design, processing, normalization, efficient dimension reduction and/or statistical analysis. With this in mind, we provide a brief review of some of the key challenges that are general to all RNA-seq experiments, namely experimental design, statistical analysis and dimensionality reduction.
PMID: 22210853 [PubMed - as supplied by publisher]
More...
Differential expression--the next generation and beyond.
Brief Funct Genomics. 2011 Dec 30;
Authors: Auer PL, Srivastava S, Doerge RW
Abstract
RNA-sequencing (RNA-seq) technologies have not only pushed the boundaries of science, but also pushed the computational and analytic capacities of many laboratories. With respect to mapping and quantifying transcriptomes, RNA-seq has certainly established itself as the approach of choice. However, as the complexities of experiments continue to grow, there is still no standard practice that allows for design, processing, normalization, efficient dimension reduction and/or statistical analysis. With this in mind, we provide a brief review of some of the key challenges that are general to all RNA-seq experiments, namely experimental design, statistical analysis and dimensionality reduction.
PMID: 22210853 [PubMed - as supplied by publisher]
More...