Methodology article
Iterative Group Analysis (iGA): A simple tool to enhance sensitivity and facilitate interpretation of microarray experiments
1 Plant Science Group, Institute of Biomedical and Life Sciences, University of Glasgow, Glasgow G12 8QQ, United Kingdom
2 Bioinformatics Research Centre, Department of Computing Science, University of Glasgow, Glasgow G12 8QQ, United Kingdom
3 Sir Henry Wellcome Functional Genomics Facility, Institute of Biomedical and Life Sciences, University of Glasgow, Glasgow G12 8QQ, United Kingdom
BMC Bioinformatics 2004, 5:34 doi:10.1186/1471-2105-5-34
Published: 29 March 2004Additional files
Additional File 1:
iGA software. For use from the Windows command line.
Format: EXE Size: 665KB Download file
Additional File 3:
iGA Manual. This file describes the use of the iGA software (both the Windows and Perl version).
Format: PDF Size: 185KB Download file
This file can be viewed with: Adobe Acrobat Reader
Additional File 4:
Example input file for use with iGA. This file contains a sorted list of genes from a photosynthesis experiment similar to those described in the text.
Format: TXT Size: 113KB Download file
Additional File 5:
Gene annotations file for use with iGA. This file contains a classification of genes in the example input file by GeneOntology numbers.
Format: TXT Size: 288KB Download file
Additional File 6:
Gene names file for use with iGA. This file contains the descriptive names of the genes in the example input file.
Format: TXT Size: 210KB Download file
Additional File 7:
Group names file for use with iGA. This file links GeneOntology terms to GeneOntology numbers.
Format: TXT Size: 45KB Download file
Additional File 8:
Sample output file. This file was produced by running iGA with default settings on the four input files (4 to 7).
Format: TXT Size: 2KB Download file
