病毒系统动力学
生物
利用
进化生物学
体细胞
基因组
树(集合论)
计算机科学
计算生物学
系统发育学
遗传学
基因
计算机安全
数学分析
数学
作者
Tanja Stadler,Oliver G. Pybus,Michael Stumpf
出处
期刊:Science
[American Association for the Advancement of Science (AAAS)]
日期:2021-01-15
卷期号:371 (6526)
被引量:50
标识
DOI:10.1126/science.aah6266
摘要
Ancestry and evolution in cell biology Advances in experimental approaches for single-cell analysis allow in situ sequencing, genomic barcoding, and mapping of cell lineages within tissues and organisms. Large amounts of data have thus accumulated and present an analytical challenge. Stadler et al. recognized the need for conceptual and computational approaches to fully exploit these technological advances for the understanding of normal and disease states. The authors review ideas taken from phylodynamics of infectious disease and show how similar tree-building techniques can be applied to monitoring changes in somatic cell lineages for applications ranging from development and differentiation to cancer biology. Science , this issue p. eaah6266
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