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Abstract:
Standard transcriptomics measures total cellular RNA
levels. Our understanding of gene regulation would be greatly
improved if we could measure RNA synthesis and decay rates on a
genome-wide level. To that end, the Dynamic Transcriptome Analysis
(DTA) method has been developed. DTA combines metabolic RNA
labeling with standard transcriptomics to measure RNA synthesis
and decay rates in a precise and non-perturbing manner. Here, we
present the open source R/Bioconductor software package DTA. It
implements all required bioinformatics steps that allow the accurate
absolute quantification and comparison of RNA turnover.