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Bioinformatics Advance Access originally published online on March 3, 2005
Bioinformatics 2005 21(10):2528-2530; doi:10.1093/bioinformatics/bti354
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© The Author 2005. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions{at}oupjournals.org

SNP discovery using advanced algorithms and neural networks

Per Unneberg {dagger}, Michael Strömberg {dagger} and Fredrik Sterky *

Royal Institute of Technology, AlbaNova University Center, Department of Biotechnology S-106 91 Stockholm, Sweden

*To whom correspondence should be addressed.

Summary: Forage is an application which uses two neural networks for detecting single nucleotide polymorphisms (SNPs). Potential SNP candidates are identified in multiple alignments. Each candidate is then represented by a vector of features, which is classified as SNP or monomorphic by the networks. A validated dataset of SNPs was constructed from experimentally verified SNP data and used for network training and method evalutation.

Availability: The package is available at biobase.biotech.kth.se/forage/

Contact: fredrik{at}biotech.kth.se

Supplementary information: Additional results and method description can be found at biobase.biotech.kth.se/forage/


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