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本文引用的文献

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Network modelling of gene regulation.基因调控的网络建模
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Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration.综合基因组浏览器(IGV):高性能基因组学数据可视化和探索。
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iSyTE: integrated Systems Tool for Eye gene discovery.iSyTE:眼部基因发现的综合系统工具。
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Gene regulatory logic for reading the Sonic Hedgehog signaling gradient in the vertebrate neural tube.脊椎动物神经管中 Sonic Hedgehog 信号梯度的基因调控逻辑。
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A gene regulatory network controlling the embryonic specification of endoderm.一个调控内胚层胚胎特化的基因调控网络。
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ResponseNet: revealing signaling and regulatory networks linking genetic and transcriptomic screening data.ResponseNet:揭示遗传和转录组筛选数据之间的信号转导和调控网络。
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Testing and Validating Machine Learning Classifiers by Metamorphic Testing.通过变形测试对机器学习分类器进行测试与验证。
J Syst Softw. 2011 Apr 1;84(4):544-558. doi: 10.1016/j.jss.2010.11.920.

应用系统方法研究发育基因调控。

Application of a systems approach to study developmental gene regulation.

作者信息

Ho Joshua W K

机构信息

Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.

出版信息

Biophys Rev. 2012 Sep;4(3):245-253. doi: 10.1007/s12551-012-0092-9. Epub 2012 Sep 1.

DOI:10.1007/s12551-012-0092-9
PMID:28510076
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5418408/
Abstract

All cells in a multicellular organism contain the same genome, yet different cell types express different sets of genes. Recent advances in high throughput genomic technologies have opened up new opportunities to understand the gene regulatory network in diverse cell types in a genome-wide manner. Here, I discuss recent advances in experimental and computational approaches for the study of gene regulation in embryonic development from a systems perspective. This review is written for computational biologists who have an interest in studying developmental gene regulation through integrative analysis of gene expression, chromatin landscape, and signaling pathways. I highlight the utility of publicly available data and tools, as well as some common analysis approaches.

摘要

多细胞生物中的所有细胞都含有相同的基因组,但不同的细胞类型表达不同的基因集。高通量基因组技术的最新进展为以全基因组方式理解不同细胞类型中的基因调控网络提供了新机会。在这里,我从系统角度讨论了胚胎发育中基因调控研究的实验和计算方法的最新进展。这篇综述是为那些有兴趣通过对基因表达、染色质景观和信号通路进行综合分析来研究发育基因调控的计算生物学家而写的。我强调了公开可用数据和工具的实用性,以及一些常见的分析方法。