Difference between revisions of "Figaro"

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Figaro is a software tool for identifying and removing the vector from raw DNA sequence data without prior knowledge of the vector sequence. By statistically modeling short oligonucleotide frequencies within a set of reads, Figaro is able to determine which DNA words are most likely associated with vector sequence. For a description of Figaro's algorithms please see our paper. You may download Figaro individually, or as part of the AMOS package at SourceForge.
 
Figaro is a software tool for identifying and removing the vector from raw DNA sequence data without prior knowledge of the vector sequence. By statistically modeling short oligonucleotide frequencies within a set of reads, Figaro is able to determine which DNA words are most likely associated with vector sequence. For a description of Figaro's algorithms please see our paper. You may download Figaro individually, or as part of the AMOS package at SourceForge.
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Revision as of 11:27, 5 September 2011

Application data

Created by White JR, Roberts M, Yorke JA, Pop M
Biological application domain(s) Sequencing
Principal bioinformatics method(s) k-mer analysis
Technology Sanger
Created at University of Maryland
Maintained? Maybe
Input format(s) FASTA, Trace Archive
Output format(s) Clipping coordinates (CLR), AFG, FASTA, QUAL
Software features AMOS
Programming language(s) C++, Perl
Licence open-source
Operating system(s) Unix

Summary: Figaro is a software tool for identifying and removing the vector from raw DNA sequence data without prior knowledge of the vector sequence.

FigaroLogo.png

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Figaro is a software tool for identifying and removing the vector from raw DNA sequence data without prior knowledge of the vector sequence. By statistically modeling short oligonucleotide frequencies within a set of reads, Figaro is able to determine which DNA words are most likely associated with vector sequence. For a description of Figaro's algorithms please see our paper. You may download Figaro individually, or as part of the AMOS package at SourceForge.

Links


References

  1. . 2008. Bioinformatics


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