Literature DB >> 12691992

AFLPinSilico, simulating AFLP fingerprints.

Stephane Rombauts1, Yves Van De Peer, Pierre Rouzé.   

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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Mesh:

Year:  2003        PMID: 12691992     DOI: 10.1093/bioinformatics/btg090

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  21 in total

1.  Quantitative cDNA-AFLP analysis for genome-wide expression studies.

Authors:  P Breyne; R Dreesen; B Cannoot; D Rombaut; K Vandepoele; S Rombauts; R Vanderhaeghen; D Inzé; M Zabeau
Journal:  Mol Genet Genomics       Date:  2003-03-18       Impact factor: 3.291

Review 2.  Molecular markers from the transcribed/expressed region of the genome in higher plants.

Authors:  P K Gupta; S Rustgi
Journal:  Funct Integr Genomics       Date:  2004-04-17       Impact factor: 3.410

3.  cDNA-AFLP-based genetical genomics in cotton fibers.

Authors:  Michel Claverie; Marlène Souquet; Janine Jean; Nelly Forestier-Chiron; Vincent Lepitre; Martial Pré; John Jacobs; Danny Llewellyn; Jean-Marc Lacape
Journal:  Theor Appl Genet       Date:  2011-11-13       Impact factor: 5.699

4.  Impact of amplified fragment length polymorphism size homoplasy on the estimation of population genetic diversity and the detection of selective loci.

Authors:  Armando Caballero; Humberto Quesada; Emilio Rolán-Alvarez
Journal:  Genetics       Date:  2008-05       Impact factor: 4.562

5.  Differential methylation during maize leaf growth targets developmentally regulated genes.

Authors:  Jasper Candaele; Kirin Demuynck; Douglas Mosoti; Gerrit T S Beemster; Dirk Inzé; Hilde Nelissen
Journal:  Plant Physiol       Date:  2014-01-31       Impact factor: 8.340

6.  Isolation and expression analysis of partial sequences of heavy metal transporters from Brassica juncea by coupling high throughput cloning with a molecular fingerprinting technique.

Authors:  Soumita Das; Monali Sen; Chinmay Saha; Debjani Chakraborty; Antara Das; Manidipa Banerjee; Anindita Seal
Journal:  Planta       Date:  2011-03-11       Impact factor: 4.116

7.  Amplified fragment length homoplasy: in silico analysis for model and non-model species.

Authors:  Margot Paris; Benjamin Bonnes; Gentile Francesco Ficetola; Bénédicte N Poncet; Laurence Després
Journal:  BMC Genomics       Date:  2010-05-07       Impact factor: 3.969

8.  ATG-anchored AFLP (ATG-AFLP) analysis in cotton.

Authors:  Yingzhi Lu; Jessica Curtiss; Danielle Miranda; Ed Hughs; Jinfa Zhang
Journal:  Plant Cell Rep       Date:  2008-06-27       Impact factor: 4.570

9.  Alignment of genetic and physical maps of Gibberella zeae.

Authors:  Jungkwan Lee; James E Jurgenson; John F Leslie; Robert L Bowden
Journal:  Appl Environ Microbiol       Date:  2008-02-08       Impact factor: 4.792

10.  A 2nd generation linkage map of Heterobasidion annosum s.l. based on in silico anchoring of AFLP markers.

Authors:  Mårten Lind; Magriet van der Nest; Åke Olson; Mikael Brandström-Durling; Jan Stenlid
Journal:  PLoS One       Date:  2012-11-05       Impact factor: 3.240

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