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How much does RNA seq Cost per sample? 

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In addition, RSEM has enabled valuable guidance for cost-efficient design of quantification experiments with RNA-Seq, which is currently relatively expensive.
In contrast, RNA-seq protocols where each sample is processed individually are significantly more expensive and lower throughput than single-cell approaches.
As the cost of sequencing decreases, it is conceivable that the use of RNA-seq for differential expression analysis will increase rapidly.
The methodological improvement presented here could substantially reduce the cost of sample preparation for future high-throughput RNA sequencing experiments.
In addition, the increasing publicly available sequencing datasets and decreasing sequencing cost promote the use of RNA-seq for hypothesis-generating studies.
Consequently, it is a pivotal parameter to consider when designing an RNA-Seq experiment.
Open accessJournal ArticleDOI
Julia Salzman, Hui Jiang, Wing Hung Wong 
98 Citations
By obtaining tens or even hundreds of millions of reads of transcribed sequences, an RNA-Seq experiment can offer a comprehensive survey of the population of genes (transcripts) in any sample of interest.
The reduction in performance compared with bulk RNA-seq is small.
This report presents a simple, rapid, and inexpensive method for preparing strand-specific RNA-Seq libraries from varying quantities of total RNA.
Open accessJournal ArticleDOI
Yuwen Liu, Jie Zhou, Kevin P. White 
01 Feb 2014-Bioinformatics
443 Citations
We also propose a cost-effectiveness metric for guiding the design of large-scale RNA-seq DE studies.

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