MOTIVATION: Microarray-based CGH (Comparative Genomic Hybridization), transcriptome arrays and other large-scale genomic technologies are now routinely used to generate a vast amount of genomic profiles. Exploratory analysis of this data is crucial in helping to understand the data and to help form biological hypotheses. This step requires visualization of the data in a meaningful way to visualize the results and to perform first level analyses. RESULTS: We have developed a graphical user interface for visualization and first level analysis of molecular profiles. It is currently in use at the Institut Curie for cancer research projects involving CGH arrays, transcriptome arrays, SNP (single nucleotide polymorphism) arrays, loss of heterozygosity results (LOH), and Chromatin ImmunoPrecipitation arrays (ChIP chips). The interface offers the possibility of studying these different types of information in a consistent way. Several views are proposed, such as the classical CGH karyotype view or genome-wide multi-tumor comparison. Many functionalities for analyzing CGH data are provided by the interface, including looking for recurrent regions of alterations, confrontation to transcriptome data or clinical information, and clustering. Our tool consists of PHP scripts and of an applet written in Java. It can be run on public datasets at http://bioinfo.curie.fr/vamp AVAILABILITY: The VAMP software (Visualization and Analysis of array-CGH,transcriptome and other Molecular Profiles) is available upon request. It can be tested on public datasets at http://bioinfo.curie.fr/vamp. The documentation is available at http://bioinfo.curie.fr/vamp/doc.
MOTIVATION: Microarray-based CGH (Comparative Genomic Hybridization), transcriptome arrays and other large-scale genomic technologies are now routinely used to generate a vast amount of genomic profiles. Exploratory analysis of this data is crucial in helping to understand the data and to help form biological hypotheses. This step requires visualization of the data in a meaningful way to visualize the results and to perform first level analyses. RESULTS: We have developed a graphical user interface for visualization and first level analysis of molecular profiles. It is currently in use at the Institut Curie for cancer research projects involving CGH arrays, transcriptome arrays, SNP (single nucleotide polymorphism) arrays, loss of heterozygosity results (LOH), and Chromatin ImmunoPrecipitation arrays (ChIP chips). The interface offers the possibility of studying these different types of information in a consistent way. Several views are proposed, such as the classical CGH karyotype view or genome-wide multi-tumor comparison. Many functionalities for analyzing CGH data are provided by the interface, including looking for recurrent regions of alterations, confrontation to transcriptome data or clinical information, and clustering. Our tool consists of PHP scripts and of an applet written in Java. It can be run on public datasets at http://bioinfo.curie.fr/vamp AVAILABILITY: The VAMP software (Visualization and Analysis of array-CGH,transcriptome and other Molecular Profiles) is available upon request. It can be tested on public datasets at http://bioinfo.curie.fr/vamp. The documentation is available at http://bioinfo.curie.fr/vamp/doc.
Authors: Alexander Gribov; Martin Sill; Sonja Lück; Frank Rücker; Konstanze Döhner; Lars Bullinger; Axel Benner; Antony Unwin Journal: BMC Med Genomics Date: 2010-06-03 Impact factor: 3.063
Authors: Guillaume Banneau; Mickaël Guedj; Gaëtan MacGrogan; Isabelle de Mascarel; Valerie Velasco; Renaud Schiappa; Valerie Bonadona; Albert David; Catherine Dugast; Brigitte Gilbert-Dussardier; Olivier Ingster; Pierre Vabres; Frederic Caux; Aurelien de Reynies; Richard Iggo; Nicolas Sevenet; Françoise Bonnet; Michel Longy Journal: Breast Cancer Res Date: 2010-08-16 Impact factor: 6.466
Authors: L de Plater; A Laugé; C Guyader; M-F Poupon; F Assayag; P de Cremoux; A Vincent-Salomon; D Stoppa-Lyonnet; B Sigal-Zafrani; J-J Fontaine; R Brough; C J Lord; A Ashworth; P Cottu; D Decaudin; E Marangoni Journal: Br J Cancer Date: 2010-09-28 Impact factor: 7.640