A computational procedure for assessing the significance of RNA secondary structure
- 1 January 1990
- journal article
- research article
- Published by Oxford University Press (OUP) in Bioinformatics
- Vol. 6 (1) , 7-18
- https://doi.org/10.1093/bioinformatics/6.1.7
Abstract
In our recent series of papers, we have used the structures of statistical significance from Monte Carlo simulations to improve the predictions of secondary structure of RNA and to analyze the possible role of locally significant structures in the ljfe cycle of human immunodeficiency virus. Because of intensive computational requirements for Monte Carlo simulation, it becomes impractical even using a supercomputer to assess the significance of a structure with a window size > 200 along an RNA sequence of 1000 bases or more. In this paper, we have developed a new procedure that drastically reduces the time needed to assess the significance of structures. In fact, the efficiency of this new method allows us to assess structures on the VAX as well as the CRAYThis publication has 4 references indexed in Scilit:
- A program for predicting significant RNA secondary structuresBioinformatics, 1988
- Stability of RNA stem-loop structure and distribution of non-random structure in the human immunodeficiency virus (HIV-I)Nucleic Acids Research, 1988
- Secondary structure of the Tetrahymena ribosomal RNA intervening sequence: structural homology with fungal mitochondrial intervening sequences.Proceedings of the National Academy of Sciences, 1983
- Fast algorithm for predicting the secondary structure of single-stranded RNA.Proceedings of the National Academy of Sciences, 1980