DENR is a new computational method built to quantify the abundance of distinct precursor RNAs based on nascent RNA sequencing data. It models the nascent RNA read counts at each locus as a mixture of user-provided isoforms. The performance of the baseline algorithm is enhanced by the use of machine-learning predictions of transcription start sites (TSSs) and an adjustment for the typical "shape profile"" of read counts along a transcription unit.
|Bioconductor views||Software StatisticalMethod Transcriptomics|
|Package repository||View on GitHub|
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