Computational Tools for Stem Cell Biology.

Computational Tools for Stem Cell Biology.
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DOI:
10.1016/j.tibtech.2016.05.010
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发表时间:
2016-12
影响因子:
17.3
通讯作者:
Cahan, Patrick
Cahan, Patrick
中科院分区:
工程技术1区
文献类型:
--
作者:
Bian, Qin;Cahan, Patrick

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半个多世纪以来,发育生物学领域一直利用计算来探索发育过程的机制。最近,计算方法在将高通量数据转化为发育和干细胞生物学知识方面至关重要。在过去的几年中,出现了一个新的计算干细胞生物学的子学科,它将干细胞的系统级方面的建模与高通量分子数据相结合。在这篇综述中,我们提供了一个概述这一新领域,并特别注意单细胞转录组学的影响,预计将对我们的发展和我们的能力,工程细胞命运的理解。
For over half a century, the field of developmental biology has leveraged computation to explore mechanisms of developmental processes. More recently, computational approaches have been critical in the translation of high throughput data into knowledge of both developmental and stem cell biology. In the last several years, a new sub-discipline of computational stem cell biology has emerged that synthesizes the modeling of systems-level aspects of stem cells with high-throughput molecular data. In this review, we provide an overview of this new field and pay particular attention to the impact that single-cell transcriptomics is expected to have on our understanding of development and our ability to engineer cell fate.
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