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使用先进算法和神经网络进行单核苷酸多态性(SNP)发现。

SNP discovery using advanced algorithms and neural networks.

作者信息

Unneberg Per, Strömberg Michael, Sterky Fredrik

机构信息

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

出版信息

Bioinformatics. 2005 May 15;21(10):2528-30. doi: 10.1093/bioinformatics/bti354. Epub 2005 Mar 3.

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/

摘要

未标注

Forage是一个使用两个神经网络来检测单核苷酸多态性(SNP)的应用程序。在多个比对中识别潜在的SNP候选者。然后每个候选者由一个特征向量表示,该向量由网络分类为SNP或单态性。从经实验验证的SNP数据构建了一个经过验证的SNP数据集,并用于网络训练和方法评估。

可用性

该软件包可在biobase.biotech.kth.se/forage/获取

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