A research team has developed an innovative computational tool offering researchers an efficient method for detecting the different ways RNA is pieced together (spliced) when copied from DNA. Because variations in how RNA is spliced play crucial roles in many diseases, this new analytical tool will provide greater capabilities for discovering disease biomarkers and therapeutic targets, even from RNA-sequencing data sets with modest coverage.
New computational tool harnesses big data, deep learning to reveal dark matter of the transcriptome
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