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Statistical Mining of the Matrix Attachment Regions in Genomic Sequences

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Introduction to Bioinformatics
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Abstract

The functional role of a cell can be thought of as reflecting the partitioning of genes into compartments of those that can be expressed and those that cannot be expressed. Every cell contains the same genetic information and expresses the same subset of genes for basic cellular function. There is a second set of genes that are uniquely expressed in each cell type. The biological mechanism by which such differential gene expression is achieved and mediated is brought about by the presence of simple DNA sequence patterns that are predominantly found within the neighborhood of the gene locus. These simple sequence patterns are embedded within the majority of nuclear noncoding DNA (i.e., in direct contrast to the 2% of the genome that corresponds to the protein coding regions).

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Singh, G.B. (2003). Statistical Mining of the Matrix Attachment Regions in Genomic Sequences. In: Krawetz, S.A., Womble, D.D. (eds) Introduction to Bioinformatics. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-59259-335-4_23

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  • DOI: https://doi.org/10.1007/978-1-59259-335-4_23

  • Publisher Name: Humana Press, Totowa, NJ

  • Print ISBN: 978-1-58829-241-4

  • Online ISBN: 978-1-59259-335-4

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