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Deciphering Transcription Factor Binding Patterns from Genome-Wide High Density ChIP-chip Tiling Array Data

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Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 6053))

Abstract

The binding events of DNA-binding proteins can be extensively characterized by high density ChIP-chip tiling array data. The binding sites and binding occupancy patterns are all very useful to understand the DNA-protein interaction. We propose a statistical procedure which focuses on identifying the interaction signal regions and the patterns of interaction using peakedness and skewness tests. Its utility to annotate the binding signals by analyzing the Tbp1 and Rpb1 ChIP-chip datasets in fission yeast is demonstrated.

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References

  1. Mockler, T.C., Chan, S., Sundaresan, A., Chen, H., Jacobsen, S.E., Ecker, J.R.: Applications of DNA tiling arrays for whole-genome analysis. Genomics 85(1), 1–15 (2005)

    Article  Google Scholar 

  2. Yazaki, J., Gregory, B.D., Ecker, J.R.: Mapping the genome landscape using tiling array technology. Current Opinion in Plant Biology 10(5), 534–542 (2007)

    Article  Google Scholar 

  3. Buck, M.J., Lieb, J.D.: ChIP-chip: considerations for the design, analysis, and application of genome-wide chromatin immunoprecipitation experiments. Genomics 83(3), 349–360 (2004)

    Article  Google Scholar 

  4. Iyer, V.R., Horak, C.E., Scafe, C.S., Botstein, D., Snyder, M., Brown, P.O.: Genomic binding sites of the yeast cell-cycle transcription factors SBF and MBF. Nature 409(6819), 533–538 (2001)

    Article  Google Scholar 

  5. Qi, Y., Rolfe, A., MacIsaac, K.D., Gerber, G.K., Pokholok, D., Zeitlinger, J., Danford, T., Dowell, R.D., Fraenkel, E., Jaakkola, T.S., Young, R.A., Gifford, D.K.: High-resolution computational models of genome binding events. Nature Biotechnology 24(8), 963–970 (2006)

    Article  Google Scholar 

  6. Kim, T.H., Barrera, L.O., Zheng, M., Qu, C., Singer, M.A., Richmond, T.A., Wu, Y., Green, R.D., Ren, B.: A high-resolution map of active promoters in the human genome. Nature 436(7052), 876–880 (2005)

    Article  Google Scholar 

  7. Zheng, M., Barrera, L.O., Ren, B., Wu, Y.N.: ChIP-chip: data, model, and analysis. Biometrics 63(3), 787–796 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  8. Glynn, E.F., Megee, P.C., Yu, H., Mistrot, C., Unal, E., Koshland, D.E., DeRisi, J.L., Gerton, J.L.: Genome-wide mapping of the cohesin complex in the yeast saccharomyces cerevisiae. PLoS Biology 2(9), E259 (2004)

    Article  Google Scholar 

  9. Wade, J.T., Struhl, K.: The transition from transcriptional initiation to elongation. Current Opinion in Genetics & Development 18(2), 130–136 (2008)

    Article  Google Scholar 

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© 2010 Springer-Verlag Berlin Heidelberg

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Li, J., Zhu, L., Eshaghi, M., Liu, J., Karuturi, R.K.M. (2010). Deciphering Transcription Factor Binding Patterns from Genome-Wide High Density ChIP-chip Tiling Array Data. In: Borodovsky, M., Gogarten, J.P., Przytycka, T.M., Rajasekaran, S. (eds) Bioinformatics Research and Applications. ISBRA 2010. Lecture Notes in Computer Science(), vol 6053. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13078-6_25

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  • DOI: https://doi.org/10.1007/978-3-642-13078-6_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13077-9

  • Online ISBN: 978-3-642-13078-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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