POCUS: mining genomic sequence annotation to predict disease genes
2003
Turner, Frances S | Clutterbuck, Daniel R | AM Semple, Colin
Here we present POCUS (prioritization of candidate genes using statistics), a novel computational approach to prioritize candidate disease genes that is based on over-representation of functional annotation between loci for the same disease. We show that POCUS can provide high (up to 81-fold) enrichment of real disease genes in the candidate-gene shortlists it produces compared with the original large sets of positional candidates. In contrast to existing methods, POCUS can also suggest counterintuitive candidates.
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书目信息
Genome biology
卷
4
期
11
页码
584
- 584
ISSN
1474-760X
出版者
American Society of Agricultural and Biological Engineers (ASABE)
其它主题
Nucleotide sequences; Genome mining
语言
英语
许可
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类型
Journal Article; Text
2024-02-28
MODS