A tradeoff between precision and throughput constrains all biological measurements, including sequencing-based technologies. Here, we develop a mathematical framework that defines this tradeoff between mRNA-sequencing depth and error in the extraction of biological information. We find that transcriptional programs can be reproducibly identified at 1% of conventional read depths. We demonstrate that this resilience to noise of “shallow” sequencing derives from a natural property, low dimensionality, which is a fundamental feature of gene expression data. Accordingly, our conclusions hold for ∼350 single-cell and bulk gene expression datasets across yeast, mouse, and human. In total, our approach provides quantitative guidelines for the choi...
Background: The cost of DNA sequencing has undergone a dramatical reduction in the past decade. As a...
An underlying question for virtually all single-cell RNA sequencing experiments is how to allocate t...
Sequencing the human genome empowers translational medicine, facilitating transcriptome-wide molecul...
A tradeoff between precision and throughput constrains all biological measurements, including sequen...
SummaryA tradeoff between precision and throughput constrains all biological measurements, including...
The allocation of a sequencing budget when designing single cell RNA-seq experiments requires consid...
Initial high-throughput RNA sequencing (RNA-Seq) experiments have revealed a complex and dynamic tra...
An underlying question for virtually all single-cell RNA sequencing experiments is how to allocate t...
Guoshuai Cai and Shoudan Liang are with the Department of Bioinformatics and Computational Biology, ...
The cost of DNA sequencing has undergone a dramatical reduction in the past decade. As a result, seq...
Abstract Background Early application of second-gener...
Next-generation sequencing (NGS) technologies are revolutionizing genome research, and in particular...
Accurate profiling of minute quantities of RNA in a global manner can enable key advances in many sc...
<div><p>Deep sequencing of transcriptomes has become an indispensable tool for biology, enabling exp...
The development of quantitative sequencing technologies, such as RNA-Seq, Bar-Seq, ChIP-Seq, and met...
Background: The cost of DNA sequencing has undergone a dramatical reduction in the past decade. As a...
An underlying question for virtually all single-cell RNA sequencing experiments is how to allocate t...
Sequencing the human genome empowers translational medicine, facilitating transcriptome-wide molecul...
A tradeoff between precision and throughput constrains all biological measurements, including sequen...
SummaryA tradeoff between precision and throughput constrains all biological measurements, including...
The allocation of a sequencing budget when designing single cell RNA-seq experiments requires consid...
Initial high-throughput RNA sequencing (RNA-Seq) experiments have revealed a complex and dynamic tra...
An underlying question for virtually all single-cell RNA sequencing experiments is how to allocate t...
Guoshuai Cai and Shoudan Liang are with the Department of Bioinformatics and Computational Biology, ...
The cost of DNA sequencing has undergone a dramatical reduction in the past decade. As a result, seq...
Abstract Background Early application of second-gener...
Next-generation sequencing (NGS) technologies are revolutionizing genome research, and in particular...
Accurate profiling of minute quantities of RNA in a global manner can enable key advances in many sc...
<div><p>Deep sequencing of transcriptomes has become an indispensable tool for biology, enabling exp...
The development of quantitative sequencing technologies, such as RNA-Seq, Bar-Seq, ChIP-Seq, and met...
Background: The cost of DNA sequencing has undergone a dramatical reduction in the past decade. As a...
An underlying question for virtually all single-cell RNA sequencing experiments is how to allocate t...
Sequencing the human genome empowers translational medicine, facilitating transcriptome-wide molecul...