核糖核酸
RNA序列
转录组
计算生物学
透视图(图形)
计算机科学
指数增长
生物
遗传学
基因
基因表达
数学
人工智能
数学分析
作者
Valentine Svensson,Roser Vento‐Tormo,Sarah A. Teichmann
出处
期刊:Cornell University - arXiv
日期:2017-04-05
被引量:1
摘要
The ability to measure the transcriptomes of single cells has only been feasible for a few years, and is becoming an extremely popular assay. While many types of analysis and questions can be answered using single cell RNA-sequencing, a central focus is the ability to survey the diversity of cell types within a sample. Unbiased and reproducible cataloging of distinct cell types requires large numbers of cells. Technological developments and protocol improvements have fuelled a consistent exponential increase in the numbers of cells studied in single cell RNA-seq analyses. In this perspective, we will highlight the key technological developments which have enabled this growth in data.
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