NettetLinearTurboFold: Linear-time global prediction of conserved structures for RNA homologs with applications to SARS-CoV-2. Sizhen Li; He Zhang; Liang Zhang; Kaibo Liu; Boxiang Liu; David H Mathews; Liang Huang; Proceedings of the National Academy of Sciences of the United States of America. Nettet28. des. 2024 · We present LinearTurboFold, a linear-time algorithm that is orders of magnitude faster, making it, to our knowledge, the first method to simultaneously fold and align whole genomes of severe acute ...
LinearTurboFold: Linear-Time RNA Structural... - Sizhen Li - iRNA ...
Nettet28. des. 2024 · Surprisingly, on a group of SARS-CoV-2 and SARS-related genomes, LinearTurboFold's purely in silico prediction not only is close to experimentally guided … NettetLinearTurboFold: Linear-Time RNA Structural Alignment and Conserved Structure Prediction with Applications to Coronaviruses - Sizhen Li - iRNA - Talk - ISMB/... bmw ドレンボルト 締め付けトルク
LinearTurboFold: Linear-Time RNA Structural Alignment and …
Nettet12. des. 2024 · LinearTurboFold is widely applicable to the analysis of other RNA viruses (influenza, Ebola, HIV, Zika, etc.) and full-length genome analysis. Methods. Pairwise … NettetFurthermore, LinearTurboFold identifies undiscovered conserved structures and more » LinearTurboFold is a general technique that can also be applied to other RNA viruses and full-length genome studies and will be a useful tool in … Nettet9. des. 2024 · The most important difference between LinearTurboFold’s prediction and Huston et al.’s experimentally guided model is that LinearTurboFold discovers an end … bmwナビ