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Volumn 51, Issue 1, 2015, Pages 2.15.1-2.15.6

DNA Motif Databases and Their Uses

Author keywords

binding site predictions; DNA motifs; position weight matrices; transcription factors

Indexed keywords

TRANSCRIPTION FACTOR; DNA; PROTEIN BINDING;

EID: 85005773732     PISSN: 19343396     EISSN: 1934340X     Source Type: Journal    
DOI: 10.1002/0471250953.bi0215s51     Document Type: Article
Times cited : (15)

References (16)
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    • Feng, J.1    Liu, T.2    Zhang, Y.3
  • 5
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    • UniPROBE, update 2015: New tools and content for the online database of protein-binding microarray data on protein-DNA interactions
    • Hume, M.A, Barrera, L.A, Gisselbrecht, S.S, and Bulyk, M.L, 2015. UniPROBE, update 2015: New tools and content for the online database of protein-binding microarray data on protein-DNA interactions. Nucleic Acids Res. 43:D117-D122. doi: 10.1093/nar/gku1045.
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    • Using CisGenome to analyze ChIP-chip and ChIP-seq data
    • Ji, H, Jiang, H, Ma, W. and Wong, W.H. 2011. Using CisGenome to analyze ChIP-chip and ChIP-seq data. Curr Protoc Bioinform. 33:2.13.1-2.13.45.
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    • The next generation of transcription factor binding site prediction
    • Mathelier, A. and Wasserman, W.W. 2013. The next generation of transcription factor binding site prediction. PLoS Comput. Biol. 9:e1003214. doi: 10.1371/journal.pcbi.1003214.
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    • Modeling the specificity of protein-DNA interactions
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    • Quantitative analysis demonstrates most transcription factors require only simple models of specificity
    • Zhao, Y. and Stormo, G.D. 2011. Quantitative analysis demonstrates most transcription factors require only simple models of specificity. Nat. Biotechnol. 29:480-483. doi: 10.1038/nbt.1893.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.