title: SNP discovery using advanced algorithms and neural networks.
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.
  
  
  BACKGROUND
  The package is available at biobase.biotech.kth.se/forage/
authors.affiliation: Department of Biotechnology, Royal Institute of Technology, AlbaNova University Center, S-106 91 Stockholm, Sweden.
authors.forename: Per
authors.initials: P
authors.lastname: Unneberg
authors.forename: Michael
authors.initials: M
authors.lastname: Strömberg
authors.forename: Fredrik
authors.initials: F
authors.lastname: Sterky
mesh_terms: D000465:Algorithms; D001483:Base Sequence; D002874:Chromosome Mapping / Q000379:methods*; D004252:DNA Mutational Analysis / Q000379:methods*; D006801:Humans; D008969:Molecular Sequence Data; D016571:Neural Networks, Computer; D020641:Polymorphism, Single Nucleotide / Q000235:genetics*; D016415:Sequence Alignment / Q000379:methods*; D017422:Sequence Analysis, DNA / Q000379:methods*; D012984:Software