Selected article for: "consensus prediction and experimental technique"
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_3
    Snippet: We trained CROSS on data from high-throughput [PARS: yeast and human transcriptomes (3, 4) and ic-SHAPE: mouse transcriptome (5) ] and low-throughput [SHAPE: HIV RNA (10) ] experiments as well as highquality NMR/X-ray structures (11) . We did not use DMS experiments because they do not provide information on the structural state of all the nucleotides (1, 5) . Each of the five models reflects the specificities of the experimental technique used t.....
    Document: We trained CROSS on data from high-throughput [PARS: yeast and human transcriptomes (3, 4) and ic-SHAPE: mouse transcriptome (5) ] and low-throughput [SHAPE: HIV RNA (10) ] experiments as well as highquality NMR/X-ray structures (11) . We did not use DMS experiments because they do not provide information on the structural state of all the nucleotides (1, 5) . Each of the five models reflects the specificities of the experimental technique used to generate the data. Since each approach has practical limitations and a different range of applicability, we also evaluated different methods to integrate the five models into a single algorithm, Global Score, to provide a consensus prediction.

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