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Rnall (RNA Local secondary structure prediction by Local symmetric mapping) predicts local RNA secondary structures for multiple sequences in the Fasta format or scans local secondary structure of a single genomic sequence in the Fasta format. Rnall scans the RNA sequence with a sliding window and extracts all LSS with sizes no longer than a window size using dynamic programming. Rnall has various potential applications, such as local secondary structure prediction in RNA molecules and RNA motif prediction (such as rho-independent/intrinsic terminator, riboswitch, siRNA, and viral RNA motifs).
Rnall is written in C/C++, and is available for both GNU/Linux and windows at the present time.
Rnall was written by Xiu-Feng (Henry) Wan. The software Rnall is freely available for academic or non-commercial purpose at http://sysbio.muohio.edu/Rnall.
Current versions of Rnall are available for both Windows and GNU/Linux system. If you need the versions for different operating systems, please contact Xiu-Feng (Henry) Wan by wanx@muohio.edu .
NewCurrent
Releases
Version 2.0 was jointly developed by Wan, X.-F., Lin, G., and Xu, D. Rnall scans the RNA sequence with a sliding window and extracts all LSS with sizes no longer than a window size using dynamic programming within a single run. Rnall has a time complexity of O(W3L) in the worse case, where W is the window size (typically a small constant less than 100 nt) and L is the sequence length. In practice, we observed an average computing time in O(W2L).
Release Achieves
Version 1.1 was jointly developed by Wan, X.-F. and Xu, D. Version 1.1 is a general RNA local secondary structure prediction tool as well as a tool for intrinsic terminator (rho-independent terminator) prediction. The user manual 1.1 explains the installing and running commands for Rnall 1.1.
The user manual 2.0 explains the installing and running commands for Rnall 2.0.
We welcome contributions to Rnall and bug reports. Please send the bug reports to Xiu-Feng Wan by wanx@muohio.edu.
If you have bug reports, questions, comments or suggestions, please contact Xiu-Feng (Henry) Wan by e-mail: wanx@muohio.edu.
This work has been supported by the US Department of Energy's
Genomes to Life program under project, “Carbon Sequestration in Synechococcus
Sp.: From Molecular Machines to Hierarchical Modeling”. If you wish
to acknowledge the use of Rnall in a publication, you should cite:
Wan, X-F., G. Lin, and D. Xu. Rnall: an efficient algorithm for predicting RNA local secondary structural landscape in genomes. Submitted.
Wan, X-F., and D. Xu. 2005. Intrinsic terminator prediction and its application in Synechococcus sp. WH8102. International Journal of Computer Science and Technology, 20: 465-482.