2000.bib

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@inbook{silico,
  author = {E. Rocha and I. Moszer and A. Sekowska and M. Klaerr (Pupin) and  C.  M{\'e}digue and A. Viari and A. Danchin},
  year = {2000},
  chapter = {In silico genome analysis},
  booktitle = {Functional analysis of bacterial genes: A practical manual},
  editor = {SD Ehrlich and  W Schuman and N Ogasawara},
  publisher = {John Wiley & Sons}
}
@article{varre:99,
  author = {J.S. Varr\'e and J.P. Delahaye and E. Rivals},
  title = {Transformation Distances: A Family of Dissimilarity Measures based on Movements of Segments},
  journal = {Bioinformatics},
  year = {1999}
}
@phdthesis{tahi:these,
  author = {JS Varr\'e},
  title = {Concepts et algorithmes pour la comparaison de s\'equences g\'en\'etiques : une approche informationnelle},
  school = {Universit\'e des Sciences et Technologies de Lille},
  year = {2000}
}
@article{cc00,
  author = {M Klaerr-Blanchard and H Chiapello, E Coward},
  title = {Detecting localized repeats in genomic sequences: a new strategy and its application to Bacillus subtilis and Arabidopsis thaliana sequences},
  journal = {Computers & Chemistry},
  year = {2000},
  url = {http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=10642880},
  pdf = {http://www.lifl.fr/~pupin/Publis/excep_bs_at.pdf},
  volume = {24},
  number = {1},
  pages = {57-70}
}
@phdthesis{rivals:thesis,
  author = {Eric Rivals},
  title = {Algorithmes de compression et applications \`a l'analyse de s\'equences g\'en\'etiques},
  school = {Universit\'e des Sciences et Technologies de Lille},
  year = {1996},
  optkey = {},
  opttype = {},
  optaddress = {},
  optmonth = {},
  optnote = {},
  optannote = {}
}
@phdthesis{delgrange:thesis,
  author = {Olivier Delgrange},
  title = {Un algorithme rapide pour une compression modulaire optimale - Application a l'analyse de s\'equences g\'en\'etiques},
  school = {Universit\'e des Sciences et Technologies de Lille},
  year = {1997},
  optkey = {},
  opttype = {},
  optaddress = {},
  optmonth = {},
  optnote = {},
  optannote = {}
}

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