| Literature DB >> 23196988 |
Yaping Fang1, Hui-Xin Liu, Ning Zhang, Grace L Guo, Yu-Jui Yvonne Wan, Jianwen Fang.
Abstract
SUMMARY: Nuclear receptors (NRs) are a class of transcription factors playing important roles in various biological processes. An NR often impacts numerous genes and different NRs share overlapped target networks. To fulfil the need for a database incorporating binding sites of different NRs at various conditions for easy comparison and visualization to improve our understanding of NR binding mechanisms, we have developed NURBS, a database for experimental and predicted nuclear receptor binding sites of mouse (NURBS). NURBS currently contains binding sites across the whole-mouse genome of 8 NRs identified in 40 chromatin immunoprecipitation with massively parallel DNA sequencing experiments. All datasets are processed using a widely used procedure and same statistical criteria to ensure the binding sites derived from different datasets are comparable. NURBS also provides predicted binding sites using NR-HMM, a Hidden Markov Model (HMM) model. AVAILABILITY: The GBrowse-based user interface of NURBS is freely accessible at http://shark.abl.ku.edu/nurbs/. NR-HMM and all results can be downloaded for free at the website. CONTACT: jwfang@ku.eduEntities:
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Year: 2012 PMID: 23196988 PMCID: PMC3546791 DOI: 10.1093/bioinformatics/bts693
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937