Author: Delli Ponti, Riccardo; Marti, Stefanie; Armaos, Alexandros; Tartaglia, Gian Gaetano
Title: A high-throughput approach to profile RNA structure Document date: 2017_3_17
ID: k23xlzj0_2
Snippet: Transcriptomic studies require intense experimental work that could be substantially reduced by using computational approaches. We built Computational Recognition of Secondary Structure (CROSS) to perform high-throughput predictions of transcript structure using the information contained in RNA sequences. The algorithm predicts the structural profile (single-and double-stranded state) of a transcript at single-nucleotide resolution using sequence.....
Document: Transcriptomic studies require intense experimental work that could be substantially reduced by using computational approaches. We built Computational Recognition of Secondary Structure (CROSS) to perform high-throughput predictions of transcript structure using the information contained in RNA sequences. The algorithm predicts the structural profile (single-and double-stranded state) of a transcript at single-nucleotide resolution using sequence information only and without sequence length restrictions.
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