Program name: mccaskill_mea Author: Hisanori Kiryu Computational Biology Research Center, The National Institute of Advanced Industrial Science and Technology (AIST), Japan. Reference: Hisanori Kiryu, Taishin Kin, and Kiyoshi Asai. Robust prediction of consensus secondary structures using averaged base pairing probability matrices. Bioinformatics. 2007 Feb 15;23(4):434-41. Base pair probability matrices are calculated using the code extracted from the RNAalifold program of Vienna RNA package (version 1.5) for RNAalifold, see Ivo L Hofacker and Martin Fekete and Peter F Stadler Secondary structure prediction for aligned RNA sequences. J Mol Biol. 2002 vol. 319 (18) pp.3724-32 Lisense: The source files in ./src/alifold/ directory contain the codes extracted from the Viennea RNA package (version 1.5). please follow ./src/alifold/COPYING file, which describes the copyright notice of the Vienna RNA package. The other part of the source codes is provided as Public Domain Software These source codes may be used, modified, or redistributed without restrictions. "mccaskill_mea" is distributed WITHOUT WARRANTY, expressed or implied. The author accepts NO LEGAL LIABILITY OR RESPONSIBILITY for loss due to reliance on the program. Install: the program was tested using gcc 4.0 on linux machines and gcc 3.4 on cygwin Some gcc specific features are currently used. cd ./src make # For cygwin, please use 'make mccaskill_mea_cygwin' instead cp mccaskill_mea ../ Usage: mccaskill_mea [options] : sequence file in multi fasta format options: -outfile= set output file name (default: mccaskill_mea_out.txt) -alpha= set scale factor alpha of loop probability. (default: 0.91) expected accuracy = alpha sum_i qi + 2 sum_i_j pij set alpha to larger values for higher specificity, smaller values for higher sensitivity Example: ./mccaskill_mea -alpha=0.0 -outfile=out.txt ./samples/tRNA.fa Version History: 1.0 15-Nov-2006 Initial Release