Nuclear Architecture from Chromosomes to Motifs[HBNI Th158]

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dc.contributor.author Ankit Agrawal
dc.date.accessioned 2019-10-15T06:06:31Z
dc.date.available 2019-10-15T06:06:31Z
dc.date.issued 2019
dc.date.submitted 2019
dc.identifier.uri https://dspace.imsc.res.in/xmlui/handle/123456789/446
dc.description.abstract This thesis is divided into 5 chapters. In Chapter 1, the Introduction, we summarise the necessary background to the work described in this thesis, including a discussion of major features of nuclear architecture, the importance of non-equilibrium activity for biophysical models of such architecture, and the background to understanding gene regulation through DNA-binding proteins that associate to specific binding sites. Chapter 2 provides details of our model for large-scale nuclear architecture and a description of its computational implementation. In Chapter 3, we present ab-initio simulation predictions of a number of features of large-scale nuclear archi- tecture. In Chapter 4, we describe an algorithm, called THiCweed, for clustering TFBS in ChIP-Seq data. This tool outperforms other existing tools in terms of its speed and its ability to capture biologically significant motifs. Finally, in Chapter 5, we end with a conclusion and describe how these studies can be further extended. en_US
dc.publisher.publisher The Institute of Mathematical Sciences
dc.subject Computational Biology en_US
dc.subject HBNI Th158 en_US
dc.subject Chromatin Architecture en_US
dc.title Nuclear Architecture from Chromosomes to Motifs[HBNI Th158] en_US
dc.type.degree Ph.D en_US
dc.type.institution HBNI en_US
dc.description.advisor Gautam I. Menon
dc.description.pages 186p. en_US
dc.type.mainsub Computational Biology en_US
dc.type.hbnibos Life Sciences


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