title: Automatic quantitation of hybridization signals on cDNA arrays.
abstract: Large-scale hybridization of simple or complex cDNA probes to cDNA clones arrayed on high-density filters is a method frequently used to determine systematically the expression profiles of thousands of genes. Hybridization signal intensities, which reflect the level of transcription of the corresponding genes, are captured on phosphor screens with an imaging system. We describe a high-throughput system, Xdots-Reader, that performs automatic detection and quantitation of each signal on hundreds of images. Reproducibility of spot detection and quantitation within filters and between filters has been assessed in analysis of more than 850000 hybridization signals on 436 filters. The automatic analysis success was greater than 97%, with 424 of the 436 tested filters fully analyzed without any human intervention. XdotsReader is available from the Software Library at www.BioTechniques.com or at http://www. ami. univ-evry. fr/approximately tahi/XDotsReader. It runs on SUN workstations under UNIX (SunOS or Solaris) and on PC under LINUX. No particular hardware is required, and the software is compatible with any other software. It supports the main standard image formats.
authors.affiliation: Genexpress, CNRS FRE 2376, Villejuif, France. tahi@lami.univ-evry.fr
authors.forename: F
authors.initials: F
authors.lastname: Tahi
authors.forename: B
authors.initials: B
authors.lastname: Achddou
authors.forename: C
authors.initials: C
authors.lastname: Decraene
authors.forename: O
authors.initials: O
authors.lastname: Alibert
authors.forename: H
authors.initials: H
authors.lastname: Guiot
authors.forename: C
authors.initials: C
authors.lastname: Auffray
authors.forename: G
authors.initials: G
authors.lastname: Piétu
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods; D009693:Nucleic Acid Hybridization; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods; D015203:Reproducibility of Results; D012984:Software; D013223:Statistics as Topic