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Methods for comprehensive transcriptome analysis using next-generation sequencing and application in hypertrophic cardiomyopathy

Characterization of the RNA transcriptome by next-generation sequencing can produce an unprecedented yield of information that provides novel biologic insights. I describe four approaches for sequencing different aspects of the transcriptome and provide computational tools to analyze the resulting data. Methods that query the dynamic range of gene expression, low expressing transcripts, micro RNA levels, and start-site usage of transcripts are described.

Identiferoai:union.ndltd.org:harvard.edu/oai:dash.harvard.edu:1/11156672
Date08 October 2013
CreatorsChristodoulou, Danos C.
ContributorsSeidman, Jonathan G., Seidman, Christine Edry
PublisherHarvard University
Source SetsHarvard University
Languageen_US
Detected LanguageEnglish
TypeThesis or Dissertation
Rightsopen

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