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AFLPinSilico,模拟扩增片段长度多态性指纹图谱。

AFLPinSilico, simulating AFLP fingerprints.

作者信息

Rombauts Stephane, Van De Peer Yves, Rouzé Pierre

机构信息

Department of Plant Systems Biology, Flanders Interuniversity Institute for Biotechnology (VIB), K.L. Ledeganckstraat 35, Gent 9000, Belgium.

出版信息

Bioinformatics. 2003 Apr 12;19(6):776-7. doi: 10.1093/bioinformatics/btg090.

Abstract

A drawback of the Amplified Fragment Length Polymorphism (AFLP) fingerprinting method is the difficulty to correlate the different fragments with their DNA sequence. The AFLPinSilico application presented here simulates AFLP experiments run on either cDNA or genomic sequences, producing virtual fingerprints that allow high throughput identification of AFLP fragments. The program also enables biologists to manage experiments through simulations done beforehand, thereby reducing the number of experiments that have to be run. AFLPinSilico is available through the www or as a stand-alone version, through a command line executable (available upon request, for any platform running PERL).

摘要

扩增片段长度多态性(AFLP)指纹图谱方法的一个缺点是难以将不同片段与其DNA序列相关联。本文介绍的AFLPinSilico应用程序可模拟在cDNA或基因组序列上进行的AFLP实验,生成虚拟指纹图谱,从而实现对AFLP片段的高通量鉴定。该程序还使生物学家能够通过预先进行的模拟来管理实验,从而减少必须进行的实验数量。AFLPinSilico可通过www获取,也可作为独立版本,通过命令行可执行文件获取(可根据要求提供,适用于任何运行PERL的平台)。

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