EULER V2.0 source code is now available for download.
See details at
the EULER V2.0 page.
ABA V1.01 executables are now available for download.
See details at
the ABA V1.01 page.
RepeatGluer V1.0 source code is now available for download
here.
We appreciate that Brian Hass from TIGR
invested a lot of effort to customize this version.
RepeatGluer V1.0 implements the A-Bruijn graph algorithm for the specific
purpose of genome scale repeat analysis. See Pevzner, Tang and Tesler,
Genome Research, 2004 Sep;14(9):1786-96 for details.
Euler is a new approach to fragment assembly that abandons the classical "overlap - layout - consensus" paradigm that is used in all currently available assembly tools. See EULER papers for details.
For the last twenty years, fragment assembly in DNA sequencing followed the "overlap - layout - consensus" paradigm that is used in all currently available assembly tools. Although this approach proved to be useful in assembling clones, it faces difficulties in genomic shotgun assembly: the existing algorithms make assembly shortcomings and are often unable to resolve repeats even in prokaryotic genomes. Biologists are well-aware of these errors and are forced to carry out additional experiments to verify the assembled contigs.
We abandon the classical "overlap - layout - consensus" approach in favor of a new Eulerian Superpath approach. EULER, in contrast to the Celera assembler, does not mask repeats but uses them instead as a powerful fragment assembly tool. This EULER server provides an online tool to assemble DNA sequences.
The developers of EULER make no claims about the suitability or accuracy of
this software or data for any purpose, and make no warranties, either expressed
or implied, including merchantability and fitness for a particular purpose
or that the use of this software or data will not infringe any third
party patents, copyrights, trademarks, or other rights. The software
and data are provided "As Is".
This software and data are provided to enhance knowledge and encourage
progress in the scientific community and are to be used only for research
and educational purposes. Any reproduction or use for commercial purpose
is prohibited without the prior written permission.