NURBS: A database of experimental and predicted nuclear receptor binding sites of mouse

Yaping Fang, Hui Xin Liu, Ning Zhang, Grace L. Guo, Yu-Jui Yvonne Wan, Jianwen Fang

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)295-297
Number of pages3
JournalBioinformatics
Volume29
Issue number2
DOIs
StatePublished - Jan 15 2013

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ASJC Scopus subject areas

  • Biochemistry
  • Molecular Biology
  • Computational Theory and Mathematics
  • Computer Science Applications
  • Computational Mathematics
  • Statistics and Probability
  • Medicine(all)

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