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• W2157959969 abstract "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.edu" @default.
• W2157959969 created "2016-06-24" @default.
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• W2157959969 date "2012-11-29" @default.
• W2157959969 modified "2023-09-25" @default.
• W2157959969 title "NURBS: a database of experimental and predicted nuclear receptor binding sites of mouse" @default.
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• W2157959969 doi "https://doi.org/10.1093/bioinformatics/bts693" @default.
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