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PMID: 12691992 Published · ppublish English Comparative Study Evaluation Study Journal Article Validation Study

AFLPinSilico, simulating AFLP fingerprints.

Bioinformatics (Oxford, England) ·Vol. 19 ·No. 6 ·2003-04-12 ·Pages 776-7

Rombauts S, Van De Peer Y, Rouzé P

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).

MeSH Terms
Algorithms Arabidopsis/genetics Base Sequence Chromosomes, Artificial, Bacterial/genetics Computer Simulation DNA Fingerprinting/methods Molecular Sequence Data Polymorphism, Restriction Fragment Length Random Amplified Polymorphic DNA Technique/methods Sequence Alignment/methods Sequence Analysis, DNA/methods Software
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Rombauts Stephane
Department of Plant Systems Biology, Flanders Interuniversity Institute for Biotechnology (VIB), K.L. Ledeganckstraat 35, Gent 9000, Belgium. [email protected]
Van De Peer Yves
Rouzé Pierre
Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4803
Published
2003-04-12
Pages
776-7
Language
English
Region
England
NLM ID
9808944
Subset
IM
Analysis Services
Analysis Services

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