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Start Your TrialNoisy is a program to identify problematic columns in multiple sequence alignments. In a first phase the rows of the input multiple sequence alignment (MSA) in multi fasta format are reordered to conform to a circular ordering. For this purpose noisy includes the corresponding subset of routines from David Bryant and Vincent Moulton's NeighborNet and Stefan Grünewald's QNet packages. Subsequently, a reliability score for each column of the reordered MSA is calculated. Essentially, the number of character state alterations in an alignment column is counted and compared to the observed count in random shufflings of the column. The uniform pseudo-random number generator Mersenne Twister is used to generate the random shufflings of alignment columns.
Noisy exports a PostScript file, visualizing the quality of the columns of the reordered input MSA, the reliability score of all columns of the reordered input MSA as xy-data and a modified alignment in which columns with a reliability smaller then a cutoff value (set via option --cutoff) are removed. The program noisy is written in ISO C++.
Manual for Noisy: http://www.bioinf.uni-leipzig.de/Software/noisy/noisy.1.html
Noisy home page here.
INPUT = dna or protein matrices in aligned fasta format
Simple Example of Run Input/Output
Input File Type | File Name |
input file | infile.afa |
Output File Type | File Name |
log file | output.eps |
Known Issues:
If you use Noisy, please cite: Andreas W. M.Dress, Christoph Flamm, Guido Fritzsch, Stefan Grünewald, Matthias Kruspe, Sonja J. Prohaska, Peter F. Stadler Noisy: identification of problematic columns in multiple sequence alignments.
Algorithms Mol Biol, 3:7 (2008) doi:10.1186/1748-7188-3-7
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