Method
POCUS: mining genomic sequence annotation to predict disease genes
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* Corresponding author: Colin AM Semple Colin.Semple@hgu.mrc.ac.uk
- † Equal contributors
MRC Human Genetics Unit, Crewe Road, Western General Hospital, Edinburgh EH4 2XU, UK
Genome Biology 2003, 4:R75 doi:10.1186/gb-2003-4-11-r75
Published: 10 October 2003Additional files
Additional data file 1:
A list of all Ensembl genes with their chromosome numbers (chromosomes 23 and 24 denote X and Y, respectively) and their positions in base pairs, with associated InterPro domains and GO terms
Format: TXT Size: 1.8MB Download file
Additional data file 2:
A list of the gene expression libraries in which the genes analyzed are found
Format: TXT Size: 254KB Download file
Additional data file 3:
A list of all the diseases analyzed with abbreviations used
Format: TXT Size: 1KB Download file
Additional data file 4:
A list of all the disease genes analyzed
Format: TXT Size: 5KB Download file
Additional data file 5:
A perl script calculating the probability of observing each possible pattern of sharing of identifiers for regions of a specified size
Format: PL Size: 5KB Download file
Additional data file 6:
A perl script calculating the probability of sharing (for a range of numbers of loci) from the simulations results from Additional data file 5
Format: PL Size: 2KB Download file
Additional data file 7:
A fuller description of the Perl scripts in Additional data files 5 and 6
Format: DOC Size: 21KB Download file
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