Synthetic spike-in standards for RNA-seq experiments
National Institutes of Health · National Institute of Diabetes and Digestive and Kidney Diseases · +2 more institutions
Abstract
High-throughput sequencing of cDNA (RNA-seq) is a widely deployed transcriptome profiling and annotation technique, but questions about the performance of different protocols and platforms remain. We used a newly developed pool of 96 synthetic RNAs with various lengths, and GC content covering a 2(20) concentration range as spike-in controls to measure sensitivity, accuracy, and biases in RNA-seq experiments as well as to derive standard curves for quantifying the abundance of transcripts. We observed linearity between read density and RNA input over the entire detection range and excellent agreement between replicates, but we observed significantly larger imprecision than expected under pure Poisson sampling…
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Authors
8- LJLichun JiangCorresponding
National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases
- FSFelix Schlesinger
Cold Spring Harbor Laboratory
- CDCarrie Davis
Cold Spring Harbor Laboratory
- YZYu Zhang
National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases
- RLRenhua Li
National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases
Topics & keywords
- Biology
- RNA-Seq
- Computational biology
- RNA
- Transcriptome
- Genetics
- Gene
- Gene expression