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Recent Computational Approaches to Understand Gene Regulation: Mining Gene Regulation In Silico

机译:理解基因调控的最新计算方法:计算机中的挖掘基因调控

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摘要

This paper reviews recent computational approaches to the understanding of gene regulation in eukaryotes. Cis-regulation of gene expression by the binding of transcription factors is a critical component of cellular physiology. In eukaryotes, a number of transcription factors often work together in a combinatorial fashion to enable cells to respond to a wide spectrum of environmental and developmental signals. Integration of genome sequences and/or Chromatin Immunoprecipitation on chip data with gene-expression data has facilitated in silico discovery of how the combinatorics and positioning of transcription factors binding sites underlie gene activation in a variety of cellular processes.
机译:本文回顾了最新的计算方法,以了解真核生物中的基因调控。通过转录因子的结合来顺式调节基因表达是细胞生理学的关键组成部分。在真核生物中,许多转录因子通常以组合方式共同起作用,以使细胞能够响应各种环境和发育信号。芯片数据上的基因组序列和/或染色质免疫沉淀与基因表达数据的整合,已在计算机上促进了计算机模拟发现转录因子结合位点的组合和定位如何在多种细胞过程中奠定了基因激活的基础。

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