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Unbiased Functional Annotation of the Human Regulatome
Author(s) -
Mrowka Ralf,
Persson Pontus B,
Blüthgen Nils
Publication year - 2010
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.24.1_supplement.488.1
Subject(s) - computational biology , annotation , gene ontology , relevance (law) , pipeline (software) , computer science , data mining , set (abstract data type) , genome , phylogenetic tree , gene annotation , similarity (geometry) , dna binding site , biology , promoter , gene , genetics , artificial intelligence , gene expression , image (mathematics) , programming language , political science , law
Understanding the functional relevance of regulatory elements and their associated genes is a major goal in the postgenomic aera. Recently, a comprehensive catalogue of human regulatory elements based on phylogenetic foot printing analysis has been established. This set of contains more than 50% new motifs (105), which show no similarity to a binding site bound by a known factor. Here, we introduce a new method and analyse large scale genome wide microarray data together with 21921 putative promoters and predict the gene ontology categories of the regulatory elements contained in the catalogue. We are able to map 526 functions to 72 regulatory elements of the catalogue. We show that the new method greatly enhances the functional prediction power in the analysis pipeline. We rigorously validate our new method based on an unbiased “literature wide”‐whole‐Pubmed analysis of known transcription factors as well as based on random background models. We estimate that only 3% of our new predictions are false positive.