Skip to Main content Skip to Navigation
Conference papers

On the Detection of Recombination in Minisatellite Data

Eric Rivals 1, * Ezekiel Adebiyi 2
* Corresponding author
1 MAB - Méthodes et Algorithmes pour la Bioinformatique
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : Tandem repeats are repeated sequences whose copies are adjacent along the chromosomes. They account for large portion of eukaryotic genomes and are found in all types of living organisms. Among tandem repeats, those with repeat unit of middle size are called minisatellites. These loci depart from classical loci because of the propensity to vary in size due to the adjunction or the removal of one or more repeat units. Because of this polymorphism, they prove useful in genetic mapping, in population genetic and forensic medicine. Moreover, some specific loci are involved in diseases, like the insulin minisatellite which is implicated in type I diabetes. Those loci also undergo complex recombination events. Presently, program to compare minisatellite alleles exist and yield good results when recombination is absent, but none treats correctly recombinant minisatellite alleles. Our goal is to develop an adequate tool for the detection of recombinant among the minisatellite sequences. By combining a multiple alignment tool and a method based on phylogenetic profiling, we design a first solution, called {\msp}, for this task. The method has been implemented, tested on real data sets from the insulin minisatellite, and proves to detect recombinant alleles.
Complete list of metadatas

https://hal-lirmm.ccsd.cnrs.fr/lirmm-00193849
Contributor : Eric Rivals <>
Submitted on : Tuesday, December 4, 2007 - 5:12:44 PM
Last modification on : Monday, July 8, 2019 - 1:08:03 PM
Document(s) archivé(s) le : Monday, April 12, 2010 - 6:06:54 AM

Identifiers

  • HAL Id : lirmm-00193849, version 1

Collections

Citation

Eric Rivals, Ezekiel Adebiyi. On the Detection of Recombination in Minisatellite Data. First Southern African Bioinformatics Workshop, Jan 2007, Johannesburg, South-Africa, pp.25-32. ⟨lirmm-00193849⟩

Share

Metrics

Record views

758

Files downloads

193