Moore's Law in Single Cell Transcriptomics
Year: 2017
Type: preprint
Abstract: The ability to measure the transcriptome of single-cells has only been feasible for a few years, but is becoming an extremely popular assay. While many types of analysis and questions can be answered using single cell RNA-sequencing, of prime interest is the ability to investigate what cell types occur in nature. Unbiased and reproducible cataloging of distinct cell types require large numbers of cells to be sampled. Technological development and improvement of protocols has exponentially scaled the size of single cell RNA-seq studies, much faster than Moore's Law. In this perspective we will illustrate the steps that made this growth happen, and what that has meant for our ability to define cell types.
Source: arXiv (Cornell University)
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W2606632497