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      Calculating sample size estimates for RNA sequencing data.

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          Abstract

          Given the high technical reproducibility and orders of magnitude greater resolution than microarrays, next-generation sequencing of mRNA (RNA-Seq) is quickly becoming the de facto standard for measuring levels of gene expression in biological experiments. Two important questions must be taken into consideration when designing a particular experiment, namely, 1) how deep does one need to sequence? and, 2) how many biological replicates are necessary to observe a significant change in expression?

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          Author and article information

          Journal
          J Comput Biol
          Journal of computational biology : a journal of computational molecular cell biology
          Mary Ann Liebert Inc
          1557-8666
          1066-5277
          Dec 2013
          : 20
          : 12
          Affiliations
          [1 ] 1 Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic , Rochester, Minnesota.
          Article
          10.1089/cmb.2012.0283
          3842884
          23961961
          7d32202c-ceaa-435f-be31-bd2c069c13a3
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