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Comparative Analysis of Bivalent Domains in Mammalian Embryonic Stem Cells

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Bioinformatics and Biomedical Engineering (IWBBIO 2015)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 9043))

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Abstract

Bivalent promoters are defined by the presence of both activating (H3K4me3) and repressive (H3K27me3) chromatin marks. In this paper, we first identified high confidence bivalent promoters in murine ES cells integrating data across eight studies using two methods; peak-based and cutoff-based. We showed that peak-based method is more reliable as promoters are more enriched for developmental regulators than the cutoff-based method. We further identified bivalent promoters in human and pig using the peak-based method to show that the bivalent promoters conserved across species were highly enriched for embryonic developmental processes.

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Author information

Authors and Affiliations

  1. Division of Developmental Biology, The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, UK

    Anna Mantsoki & Anagha Joshi

Authors
  1. Anna Mantsoki
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  2. Anagha Joshi
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Editor information

Editors and Affiliations

  1. Dpto. de Arquitectura y Tecnología de Computadores (ATC)., E.T.S. de Ingenierías en Informática y Telecomunicación. CITIC-UGR, Universidad de Granada, c/ Periodista Daniel Saucedo Aranda s/n, 18071, Granada, Spain

    Francisco Ortuño

  2. E.T.S. Ingenierías Informática y de Telecomunicación , , Dpto. Arquitectura y Tecnología de Computadores, CITIC-UGR, Universidad de Granada, C Periodista Rafael Gómez Montero, 18071, Granada, Spain

    Ignacio Rojas

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Mantsoki, A., Joshi, A. (2015). Comparative Analysis of Bivalent Domains in Mammalian Embryonic Stem Cells. In: Ortuño, F., Rojas, I. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2015. Lecture Notes in Computer Science(), vol 9043. Springer, Cham. https://doi.org/10.1007/978-3-319-16483-0_39

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  • DOI: https://doi.org/10.1007/978-3-319-16483-0_39

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16482-3

  • Online ISBN: 978-3-319-16483-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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