Method
Genome Alteration Print (GAP): a tool to visualize and mine complex cancer genomic profiles obtained by SNP arrays
1 Centre de Recherche, Institut Curie, 26 rue d'Ulm, Paris, 75248, France
2 INSERM U830, Institut Curie, 26 rue d'Ulm, Paris, 75248, France
3 Department of Tumor Biology, Institut Curie, 26 rue d'Ulm, Paris, 75248, France
4 University Paris Descartes, 12 rue de l'Ecole de Médecine, Paris, 75270, France
5 Translational Research Department, Institut Curie, 1 avenue Claude Vellefaux, Paris, 75475, France
6 MIA 518, AgroParisTech/INRA, 16 rue Claude Bernard, Paris, 75231, France
7 INSERM U900, Institut Curie, 26 rue d'Ulm, Paris, 75248, France
8 Ecole des Mines ParisTech, 35 rue Saint Honoré, Fontainebleau, 77305, France
Genome Biology 2009, 10:R128 doi:10.1186/gb-2009-10-11-r128
Published: 11 November 2009Additional files
Additional data file 1:
A table of images of GAP patterns and copy-number recognition templates for a series of breast carcinomas with available DNA indexes
Format: PDF Size: 4.7MB Download file
This file can be viewed with: Adobe Acrobat Reader
Additional data file 2:
A table listing copy-number status of pericentric regions inferred on the basis of GAP pattern for a series of breast carcinomas and cell lines
Format: XLS Size: 43KB Download file
This file can be viewed with: Microsoft Excel Viewer
Additional data file 3:
two tables indicating self-consistency in copy-number attribution in dilution series calculated for two methods of recognition: GAP method and OverUnder algorithm
Format: DOC Size: 72KB Download file
This file can be viewed with: Microsoft Word Viewer
Additional data file 4:
GAP patterns and copy-number recognition templates for the dilution series of cell line CRL2324
Format: PDF Size: 4.7MB Download file
This file can be viewed with: Adobe Acrobat Reader
