Literature DB >> 16820431

VAMP: visualization and analysis of array-CGH, transcriptome and other molecular profiles.

Philippe La Rosa1, Eric Viara, Philippe Hupé, Gaëlle Pierron, Stéphane Liva, Pierre Neuvial, Isabel Brito, Séverine Lair, Nicolas Servant, Nicolas Robine, Elodie Manié, Caroline Brennetot, Isabelle Janoueix-Lerosey, Virginie Raynal, Nadège Gruel, Céline Rouveirol, Nicolas Stransky, Marc-Henri Stern, Olivier Delattre, Alain Aurias, François Radvanyi, Emmanuel Barillot.   

Abstract

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.

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Year:  2006        PMID: 16820431     DOI: 10.1093/bioinformatics/btl359

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  44 in total

1.  Syntenic relationships between genomic profiles of fiber-induced murine and human malignant mesothelioma.

Authors:  Didier Jean; Emilie Thomas; Elodie Manié; Annie Renier; Aurélien de Reynies; Céline Lecomte; Pascal Andujar; Jocelyne Fleury-Feith; Françoise Galateau-Sallé; Marco Giovannini; Jessica Zucman-Rossi; Marc-Henri Stern; Marie-Claude Jaurand
Journal:  Am J Pathol       Date:  2011-02       Impact factor: 4.307

2.  SEURAT: visual analytics for the integrated analysis of microarray data.

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

3.  Fine mapping of whole RB1 gene deletions in retinoblastoma patients confirms PCDH8 as a candidate gene for psychomotor delay.

Authors:  Laurent Castéra; Catherine Dehainault; Dorothée Michaux; Livia Lumbroso-Le Rouic; Isabelle Aerts; Francois Doz; Anna Pelet; Jérôme Couturier; Dominique Stoppa-Lyonnet; Marion Gauthier-Villars; Claude Houdayer
Journal:  Eur J Hum Genet       Date:  2012-08-22       Impact factor: 4.246

4.  waviCGH: a web application for the analysis and visualization of genomic copy number alterations.

Authors:  Angel Carro; Daniel Rico; Oscar M Rueda; Ramón Díaz-Uriarte; David G Pisano
Journal:  Nucleic Acids Res       Date:  2010-05-27       Impact factor: 16.971

5.  A genomic and transcriptomic approach for a differential diagnosis between primary and secondary ovarian carcinomas in patients with a previous history of breast cancer.

Authors:  Jean-Philippe Meyniel; Paul H Cottu; Charles Decraene; Marc-Henri Stern; Jérôme Couturier; Ingrid Lebigot; André Nicolas; Nina Weber; Virginie Fourchotte; Séverine Alran; Audrey Rapinat; David Gentien; Sergio Roman-Roman; Laurent Mignot; Xavier Sastre-Garau
Journal:  BMC Cancer       Date:  2010-05-21       Impact factor: 4.430

6.  Molecular apocrine differentiation is a common feature of breast cancer in patients with germline PTEN mutations.

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

7.  Highly dynamic and sex-specific expression of microRNAs during early ES cell differentiation.

Authors:  Constance Ciaudo; Nicolas Servant; Valérie Cognat; Alexis Sarazin; Emmanuelle Kieffer; Stéphane Viville; Vincent Colot; Emmanuel Barillot; Edith Heard; Olivier Voinnet
Journal:  PLoS Genet       Date:  2009-08-28       Impact factor: 5.917

8.  Detection of recurrent copy number alterations in the genome: taking among-subject heterogeneity seriously.

Authors:  Oscar M Rueda; Ramon Diaz-Uriarte
Journal:  BMC Bioinformatics       Date:  2009-09-23       Impact factor: 3.169

9.  CHESS (CgHExpreSS): a comprehensive analysis tool for the analysis of genomic alterations and their effects on the expression profile of the genome.

Authors:  Mikyung Lee; Yangseok Kim
Journal:  BMC Bioinformatics       Date:  2009-12-16       Impact factor: 3.169

10.  Establishment and characterisation of a new breast cancer xenograft obtained from a woman carrying a germline BRCA2 mutation.

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

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