title: AFLPinSilico, simulating AFLP fingerprints.
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).
authors.affiliation: Department of Plant Systems Biology, Flanders Interuniversity Institute for Biotechnology (VIB), K.L. Ledeganckstraat 35, Gent 9000, Belgium. strom@gengenp.rug.ac.be
authors.forename: Stephane
authors.initials: S
authors.lastname: Rombauts
authors.forename: Yves
authors.initials: Y
authors.lastname: Van De Peer
authors.forename: Pierre
authors.initials: P
authors.lastname: Rouzé
mesh_terms: D000465:Algorithms; D017360:Arabidopsis / Q000235:genetics; D001483:Base Sequence; D022202:Chromosomes, Artificial, Bacterial / Q000235:genetics; D003198:Computer Simulation; D016172:DNA Fingerprinting / Q000379:methods*; D008969:Molecular Sequence Data; D012150:Polymorphism, Restriction Fragment Length; D019105:Random Amplified Polymorphic DNA Technique / Q000379:methods*; D016415:Sequence Alignment / Q000379:methods*; D017422:Sequence Analysis, DNA / Q000379:methods*; D012984:Software