CLARE: Cracking the LAnguage of Regulatory Elements | Zendy

Leila Taher | Zendy; Leelavati Narlikar | Zendy; Ivan Ovcharenko | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

CLARE: Cracking the LAnguage of Regulatory Elements

Author(s) -

Leila Taher,

Leelavati Narlikar,

Ivan Ovcharenko

Publication year - 2011

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btr704

Subject(s) - set (abstract data type) , computer science , process (computing) , regulatory sequence , sequence (biology) , source code , computational biology , data mining , information retrieval , gene , biology , transcription factor , programming language , genetics

CLARE is a computational method designed to reveal sequence encryption of tissue-specific regulatory elements. Starting with a set of regulatory elements known to be active in a particular tissue/process, it learns the sequence code of the input set and builds a predictive model from features specific to those elements. The resulting model can then be applied to user-supplied genomic regions to identify novel candidate regulatory elements. CLARE's model also provides a detailed analysis of transcription factors that most likely bind to the elements, making it an invaluable tool for understanding mechanisms of tissue-specific gene regulation.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research