POCUS: mining genomic sequence annotation to predict disease genes

Frances S Turner^*, Daniel R Clutterbuck^* and Colin AM Semple

MRC Human Genetics Unit, Crewe Road, Western General Hospital, Edinburgh EH4 2XU, UK

author email corresponding author email* Contributed equally

Genome Biology 2003, 4:R75doi:10.1186/gb-2003-4-11-r75


Published:	10 October 2003

Subject areas: Bioinformatics, Genetics, Medicine

Additional 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: 1.9MB 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