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Thread | Thread Starter | Forum | Replies | Last Post |
RNA-Seq: Differential expression in RNA-seq: A matter of depth. | Newsbot! | Literature Watch | 0 | 09-10-2011 02:12 AM |
RNA-seq for differential expression | Inti | RNA Sequencing | 0 | 01-17-2011 06:46 AM |
RNA-Seq: From RNA-seq reads to differential expression results. | Newsbot! | Literature Watch | 0 | 12-24-2010 02:13 AM |
RNA-Seq: Cloud-scale RNA-sequencing differential expression analysis with Myrna. | Newsbot! | Literature Watch | 0 | 08-13-2010 08:00 AM |
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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... |
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