GEO DataSets

(Submitter supplied) Current methods for determening RNA structure with short-read sequencing cannot capture most differences between distinct transcript isoforms. Here, we present RNA structure analysis using nanopore sequencing (PORE-cupine),which combines structure probing using chemical modifications with direct long-read RNA sequencing and machine learning to detect secondary structures in cellular RNAs. PORE-cupine also captures global structural features, such as RNA binding protein (RBP) binding sites and reactivity differences at single nucleotide variants (SNVs). more...

Organism:

Tetrahymena thermophila; Bacillus subtilis; Saccharomyces cerevisiae; Homo sapiens; Dengue virus; Oceanobacillus iheyensis

Type:

Other

5 related Platforms

21 Samples

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