SGA
Revision as of 04:36, 25 August 2015 by LuisPedroCoelho (talk | contribs) (Text replace - "bio method=Assembly" to "bio method=Sequence assembly")
Application data |
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Created by | Jared Simpson, Richard Durbin |
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Principal bioinformatics method(s) | Sequence assembly |
Technology | Illumina |
Created at | The Wellcome Trust Sanger Institute |
Maintained? | Yes |
Input format(s) | FASTQ |
Output format(s) | FASTA |
Programming language(s) | C++ |
Licence | GPLv3 |
Operating system(s) | Linux |
Summary: SGA is a de novo assembler designed to assemble large genomes from high coverage short read data.
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Description
It is based on Gene Myers' string graph formulation of assembly and uses the FM-index/Burrows-Wheeler transform to efficiently find overlaps between sequence reads.
Links
References
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