Evaluation of genomic island predictors using a comparative genomics approach

doi:10.1186/1471-2105-9-329

BMC Bioinformatics

Volume 9

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Research article

Evaluation of genomic island predictors using a comparative genomics approach

Morgan GI Langille , William WL Hsiao and Fiona SL Brinkman

Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada

author email corresponding author email

BMC Bioinformatics 2008, 9:329doi:10.1186/1471-2105-9-329


Published:	5 August 2008

Additional files

Additional file 1:

The 118 query genomes and their reference genomes with CVTree distances.

Format: XLS Size: 83KB Download file

This file can be viewed with: Microsoft Excel Viewer

Additional file 2:

All GIs, with coordinates, predicted using our comparative genomics approach (positive dataset), along with overlap with other GI prediction tools.

Format: XLS Size: 190KB Download file

This file can be viewed with: Microsoft Excel Viewer

Additional file 3:

Gene lists for each genomic island predicted using IslandPick.

Format: XLS Size: 1.4MB Download file

This file can be viewed with: Microsoft Excel Viewer

Additional file 4:

All regions, with coordinates, in the negative dataset, along with overlap with other GI prediction tools.

Format: XLS Size: 704KB Download file

This file can be viewed with: Microsoft Excel Viewer

Additional file 5:

GIs predicted by each tool and found in the literature, including overlapping regions from other GI tools.

Format: XLS Size: 5.4MB Download file

This file can be viewed with: Microsoft Excel Viewer

Additional file 6:

Accuracy measurements for 118 chromosomes listed by each GI prediction tool.

Format: XLS Size: 126KB Download file

This file can be viewed with: Microsoft Excel Viewer

Additional file 7:

Accuracy measurements for each prediction tool using each tool's GI dataset as the "benchmark".

Format: XLS Size: 21KB Download file

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Additional file 8:

Average number of GI predictions and accuracy measurements of several GI prediction tools, based on a dataset containing proportionally more ancient islands by using relaxed genome selection criteria.

Format: DOC Size: 32KB Download file

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Additional file 9:

Accuracy measurements of GI tools for 114 chromosomes, based on a dataset containing proportionally more ancient islands by using relaxed genome selection criteria.

Format: XLS Size: 122KB Download file

This file can be viewed with: Microsoft Excel Viewer