title: A fast top-down method for constructing reliable radiation hybrid frameworks.
abstract: BACKGROUND
  Radiation Hybrid Mapping (RHM) is a technique used to order a set of markers on a genome and estimating physical distances between them. RHM provides information on marker placement independent from other methods such as sequencing, and can therefore be used for example in genome sequencing to help ordering contigs. A radiation hybrid framework can be constructed by choosing a set of markers so that the chromosome coverage is good and so that the markers can be ordered with high confidence. Automatically constructing RHM frameworks is a computationally challenging problem.
  
  
  RESULTS
  We have developed a new method for constructing radiation hybrid frameworks. Given a relatively large set of markers for a chromosome, the algorithm aims to select an ordered subset that makes up a framework, and that contains as many markers as possible. The algorithm has a time complexity that is better than any of the existing methods that we are aware of. Furthermore, we propose a method for comparing if two frameworks are consistent, giving a visual presentation as well as quantitative measures of how well the two frameworks agree. Applying our method on marker sets from 22 human chromosomes and comparing the resulting frameworks with previously published frameworks, we demonstrate that our automatic method efficiently constructs frameworks with good coverage of each chromosome and with high degree of agreement on the marker ordering.
authors.affiliation: Department of Informatics, University of Bergen, HIB, N5020 Bergen, Norway. trondb@ii.uib.no
authors.forename: Trond H
authors.initials: TH
authors.lastname: Bø
authors.forename: Inge
authors.initials: I
authors.lastname: Jonassen
authors.forename: Ingvar
authors.initials: I
authors.lastname: Eidhammer
authors.forename: Carsten
authors.initials: C
authors.lastname: Helgesen
mesh_terms: D000465:Algorithms; D002877:Chromosomes, Human / Q000235:genetics; D019295:Computational Biology; D030541:Databases, Genetic; D005819:Genetic Markers; D006801:Humans; D021101:Radiation Hybrid Mapping / Q000379:methods* / Q000706:statistics & numerical data
chemical_list: D005819:Genetic Markers