Literature DB >> 15746291

SNP discovery using advanced algorithms and neural networks.

Per Unneberg1, Michael Strömberg, Fredrik Sterky.   

Abstract

UNLABELLED: 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/

Mesh:

Year:  2005        PMID: 15746291     DOI: 10.1093/bioinformatics/bti354

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  3 in total

Review 1.  Genetic epidemiology in aging research.

Authors:  M Daniele Fallin; Amy Matteini
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2009-01-23       Impact factor: 6.053

2.  PineSAP--sequence alignment and SNP identification pipeline.

Authors:  Jill L Wegrzyn; Jennifer M Lee; John Liechty; David B Neale
Journal:  Bioinformatics       Date:  2009-08-10       Impact factor: 6.937

3.  Seq4SNPs: new software for retrieval of multiple, accurately annotated DNA sequences, ready formatted for SNP assay design.

Authors:  Helen I Field; Serena A Scollen; Craig Luccarini; Caroline Baynes; Jonathan Morrison; Alison M Dunning; Douglas F Easton; Paul D P Pharoah
Journal:  BMC Bioinformatics       Date:  2009-06-12       Impact factor: 3.169

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.