Identifying the combinatorial effects of histone modifications by association rule mining in yeast.

ABSTRACT: Eukaryotic genomes are packaged into chromatin by histone proteins whose chemical modification can profoundly influence gene expression. The histone modifications often act in combinations, which exert different effects on gene expression. Although a number of experimental techniques and data analysis methods have been developed to study histone modifications, it is still very difficult to identify the relationships among histone modifications on a genome-wide scale.We proposed a method to identify the combinatorial effects of histone modifications by association rule mining. The method first identified Functional Modification Transactions (FMTs) and then employed association rule mining algorithm and statistics methods to identify histone modification patterns. We applied the proposed met

SUBMITTER: Wang J 

PROVIDER: S-EPMC2964047 | biostudies-literature | 2010 Sep

REPOSITORIES: biostudies-literature