AFLPinSilico, simulating AFLP fingerprints.

Stephane Rombauts; Yves Van De Peer; Pierre Rouzé

doi:10.1093/bioinformatics/btg090

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AFLPinSilico, simulating AFLP fingerprints.

Stephane Rombauts·Yves Van De Peer·Pierre Rouzé

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Abstract

SUMMARY: 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).

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Algorithms Arabidopsis Base Sequence Chromosomes, Artificial, Bacterial Computer Simulation DNA Fingerprinting Molecular Sequence Data Polymorphism, Restriction Fragment Length Random Amplified Polymorphic DNA Technique Sequence Alignment Sequence Analysis, DNA Software Comparative Study Evaluation Study Journal Article Validation Study

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Stephane Rombauts, Yves Van De Peer, Pierre Rouzé. 2003-04-12. AFLPinSilico, simulating AFLP fingerprints.. https://doi.org/10.1093/bioinformatics%2Fbtg090

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