SNP discovery using advanced algorithms and neural networks |
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Authors: | Unneberg Per Strömberg Michael Sterky Fredrik |
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Affiliation: | Department of Biotechnology, Royal Institute of Technology, AlbaNova University Center, S-106 91 Stockholm, Sweden. |
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Abstract: | 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/ |
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