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Atlanta, GA, United States
MS Bioinformatics Student & Graduate Research Assistant @ Georgia Institute of Technology, Atlanta, GA

Wednesday, December 15, 2010

SSAKE ... better assembler?

Performance

SSAKE is a genomics application for assembling millions of very short DNA sequences.


Project Description

The Short Sequence Assembly by K-mer search and 3' read Extension (SSAKE) is a genomics application for aggressively assembling millions of short nucleotide sequences by progressively searching for perfect 3'-most k-mers using a DNA prefix tree. SSAKE is designed to help leverage the information from short sequences reads by stringently clustering them into contigs that can be used to characterize novel sequencing targets.
*Best performance is achieved by quality-trimming your reads before assembly 

Summary

SSAKE is written in PERL and runs on Linux. SSAKE cycles through short sequence reads stored in a hash table and progressively searches through a prefix tree for the longest possible identical overlap between any two sequences. The algorithm was used to assemble 25-36 bp sequence reads from viral, bacterial and fungal genomes and on forty millions 25-mers simulated using the whole-genome shotgun (WGS) sequence data from the Sargasso sea metagenomics project. Considering the number of sequences to assemble, SSAKE is robust and tractable.

Documentation

René L Warren, Granger G Sutton, Steven JM Jones, Robert A Holt. 2007 (epub 2006 Dec 8). Assembling millions of short DNA sequences using SSAKE. bioinformatics. 23:500-501.
 

License

This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

Credits

René Warren, Granger Sutton, Steven Jones and Robert Holt

Source: http://www.bcgsc.ca/platform/bioinfo/software/ssake

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