Abstract
RNA-seq has emerged as the technology of choice to quantify gene expression. This technology is a convenient accurate tool to quantify diurnal changes in gene expression, gene discovery, differential use of promoters, and splice variants for all genes expressed in a single tissue. Thus, RNA-seq experiments provide sequence information and absolute expression values about transcripts in addition to relative quantification available with microarrays or qRT-PCR. The depth of information by sequencing requires careful assessment of RNA intactness and DNA contamination. Although the RNA-seq is comparatively recent, a standard analysis framework has emerged with the packages of Bowtie2, TopHat, and Cufflinks. With rising popularity of RNA-seq tools have become manageable for researchers without much bioinformatical knowledge or programming skills. Here, we present a workflow for a RNA-seq experiment from experimental planning to biological data extraction.
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Külahoglu, C., Bräutigam, A. (2014). Quantitative Transcriptome Analysis Using RNA-seq. In: Staiger, D. (eds) Plant Circadian Networks. Methods in Molecular Biology, vol 1158. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-0700-7_5
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DOI: https://doi.org/10.1007/978-1-4939-0700-7_5
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