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_41
Snippet: The study of large transcripts requires intense experimental work that could be substantially reduced by using computational approaches to characterize their structural features (16) . Methods based on thermodynamic principles (18, 28) can be employed for RNAs < 1 000-1 500 nucleotides and do not work for larger molecules because of the complexity of the configuration space (22) . In our approach, we use local sequence properties of RNAs, which i.....
Document: The study of large transcripts requires intense experimental work that could be substantially reduced by using computational approaches to characterize their structural features (16) . Methods based on thermodynamic principles (18, 28) can be employed for RNAs < 1 000-1 500 nucleotides and do not work for larger molecules because of the complexity of the configuration space (22) . In our approach, we use local sequence properties of RNAs, which is key to perform fast high-throughput profiling of sequences, since the computational load scales linearly with the sequence length. Therefore, CROSS allows the prediction of the structural profile without sequence length restrictions.
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