CardioTF, a database of deconstructing transcriptional circuits in the heart system.

ABSTRACT:

Background

Information on cardiovascular gene transcription is fragmented and far behind the present requirements of the systems biology field. To create a comprehensive source of data for cardiovascular gene regulation and to facilitate a deeper understanding of genomic data, the CardioTF database was constructed. The purpose of this database is to collate information on cardiovascular transcription factors (TFs), position weight matrices (PWMs), and enhancer sequences discovered using the ChIP-seq method.

Methods

The Naïve-Bayes algorithm was used to classify literature and identify all PubMed abstracts on cardiovascular development. The natural language learning tool GNAT was then used to identify corresponding gene names embedded within these abstracts. Local Perl script

SUBMITTER: Zhen Y 

PROVIDER: S-EPMC5012272 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature