title: An algorithm and program for finding sequence specific oligonucleotide probes for species identification.
abstract: BACKGROUND
  The identification of species or species groups with specific oligo-nucleotides as molecular signatures is becoming increasingly popular for bacterial samples. However, it shows also great promise for other small organisms that are taxonomically difficult to tract.
  
  
  RESULTS
  We have devised here an algorithm that aims to find the optimal probes for any given set of sequences. The program requires only a crude alignment of these sequences as input and is optimized for performance to deal also with very large datasets. The algorithm is designed such that the position of mismatches in the probes influences the selection and makes provision of single nucleotide outloops. Program implementations are available for Linux and Windows.
authors.affiliation: University of Cologne, Institute of Genetics, AG Tautz; Weyertal 121, D-50931 Cologne, Germany. alex.pozhitkov@uni-koeln.de
authors.forename: Alexander E
authors.initials: AE
authors.lastname: Pozhitkov
authors.forename: Diethard
authors.initials: D
authors.lastname: Tautz
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000706:statistics & numerical data; D020118:Cupriavidus necator / Q000235:genetics; D030541:Databases, Genetic; D020563:Gammaproteobacteria / Q000235:genetics; D015345:Oligonucleotide Probes / Q000235:genetics*; D012329:RNA, Bacterial / Q000235:genetics*; D012337:RNA, Ribosomal, 18S / Q000235:genetics; D012339:RNA, Ribosomal, 28S / Q000235:genetics; D012985:Software Design; D013045:Species Specificity; D016944:Sulfolobus / Q000235:genetics; D020124:Thermotoga maritima / Q000235:genetics; D014208:Treponema / Q000235:genetics
chemical_list: D015345:Oligonucleotide Probes; D012329:RNA, Bacterial; D012337:RNA, Ribosomal, 18S; D012339:RNA, Ribosomal, 28S