A computational procedure for assessing the significance of RNA secondary structure (original) (raw)

Journal Article

,

1

Advanced Scientific Computing Laboratory, Program Resources, Inc.

NCI/FCRF, Frederick, MD 21701, USA

Search for other works by this author on:

,

Search for other works by this author on:

,

Search for other works by this author on:

,

Search for other works by this author on:

Search for other works by this author on:

Published:

01 January 1990

• PDF
• Split View
• • Article contents
  • Figures & tables
  • Video
  • Audio
  • Supplementary Data
• Cite

Cite

Jih-H. Chen, Shu-Yun Le, Bruce Shapiro, Kathleen M. Currey, Jacob V. Maizel, A computational procedure for assessing the significance of RNA secondary structure, Bioinformatics, Volume 6, Issue 1, January 1990, Pages 7–18, https://doi.org/10.1093/bioinformatics/6.1.7
Close

Navbar Search Filter Mobile Enter search term Search

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 CRAY

This content is only available as a PDF.

/ Oxford University Press

Citations

Views

Altmetric

Metrics

Total Views 45

0 Pageviews

45 PDF Downloads

Since 8/1/2017

×

Email alerts

Citing articles via

• Latest

• Most Read

• Most Cited

More from Oxford Academic