title: ROSO: optimizing oligonucleotide probes for microarrays.
abstract: ROSO is software to design optimal oligonucleotide probe sets for microarrays. Selected probes show no significant cross-hybridization, no stable secondary structures and their Tm are chosen to minimize the Tm variability of the probe set.
  
  
  BACKGROUND
  The program is available on the internet. Sources are freely available, for non-profit use, on request to the authors.
  
  
  BACKGROUND
  http://pbil.univ-lyon1.fr/roso
authors.affiliation: Biologie Fonctionnelle, Insectes et Interactions (BF2I), UMR INRA/INSA de Lyon, 69621 Villeurbanne, France. nancie.reymond@jouy.inra.fr
authors.forename: Nancie
authors.initials: N
authors.lastname: Reymond
authors.forename: Hubert
authors.initials: H
authors.lastname: Charles
authors.forename: Laurent
authors.initials: L
authors.lastname: Duret
authors.forename: Federica
authors.initials: F
authors.lastname: Calevro
authors.forename: Guillaume
authors.initials: G
authors.lastname: Beslon
authors.forename: Jean-Michel
authors.initials: JM
authors.lastname: Fayard
mesh_terms: D000465:Algorithms; D017076:Computer-Aided Design; D004867:Equipment Design / Q000379:methods; D020411:Oligonucleotide Array Sequence Analysis / Q000295:instrumentation* / Q000379:methods*; D015345:Oligonucleotide Probes / Q000138:chemical synthesis / Q000737:chemistry*; D009841:Oligonucleotides / Q000138:chemical synthesis / Q000737:chemistry*; D011786:Quality Control; D012984:Software
chemical_list: D015345:Oligonucleotide Probes; D009841:Oligonucleotides