title: Regression trees for analysis of mutational spectra in nucleotide sequences.
abstract: BACKGROUND
  The study and comparison of mutational spectra is an important problem in molecular biology, because these spectra often reveal important features of the action of various mutagens and the functioning of repair/replication enzymes. As is known, mutability varies significantly along nucleotide sequences: mutations often concentrate at certain positions in a sequence, otherwise termed 'hotspots'.
  
  
  RESULTS
  Herein, we propose a regression analysis method based on the use of regression trees in order to analyse the influence of nucleotide context on the occurrence of such hotspots. The REGRT program developed has been tested on simulated and real mutational spectra. For the G:C-->T:A mutational spectra induced by Sn1 alkylating agents (nine spectra), the prediction accuracy was 0. 99.
  
  
  BACKGROUND
  The REGRT program is available upon request from V.Berikov.
authors.affiliation: Institute of Mathematics and Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk 630090, Russia. berikov@math.nsc.ru
authors.forename: V B
authors.initials: VB
authors.lastname: Berikov
authors.forename: I B
authors.initials: IB
authors.lastname: Rogozin
mesh_terms: D000465:Algorithms; D000477:Alkylating Agents / Q000494:pharmacology; D001483:Base Sequence; D004252:DNA Mutational Analysis; D004926:Escherichia coli / Q000187:drug effects / Q000235:genetics; D005038:Ethylnitrosourea / Q000494:pharmacology; D007763:Lac Operon / Q000187:drug effects; D008957:Models, Genetic; D008962:Models, Theoretical; D009154:Mutation; D012044:Regression Analysis; D012984:Software
chemical_list: D000477:Alkylating Agents; D005038:Ethylnitrosourea