SNP discovery using advanced algorithms and neural networks
2005 (English)In: Bioinformatics, ISSN 1367-4803, E-ISSN 1460-2059, Vol. 21, no 10, 2528-2530 p.Article in journal (Refereed) Published
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.
Place, publisher, year, edition, pages
2005. Vol. 21, no 10, 2528-2530 p.
access to information, algorithm, article, artificial neural network, forage, gene frequency, information processing, priority journal, single nucleotide polymorphism, statistical analysis, validation process
IdentifiersURN: urn:nbn:se:kth:diva-5172DOI: 10.1093/bioinformatics/bti354ISI: 000229285600053PubMedID: 15746291ScopusID: 2-s2.0-19544386177OAI: oai:DiVA.org:kth-5172DiVA: diva2:7978
QC 20100929. Uppdaterad från Manuskript till Artikel (20100929). Tidigare titel: "SNP discovery usin advanced algorithms and nuural networks".2004-10-082004-10-082010-09-29Bibliographically approved