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Are we sequencing too deep?

Are we sequencing too deep?

RNA-seq is increasingly used to study gene expression of various organisms. While it provides a great opportunity to explore genome-scale transcriptional patterns with tremendous depth, it comes with prohibitive costs. Establishing a minimal sequencing depth for required accuracy will guide ...

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A comparison of commercially-available total RNA extraction kits

A comparison of commercially-available total RNA extraction kits

This study compared the performance of five commercially available kits in extracting total RNA from small eukaryotic tissue samples (<15 mg). Total RNA was isolated from fathead minnow (Pimephales promelas) tissues (spleen, blood, kidney, embryo, and larvae) using the Qiagen RNeasy® ...

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CellNet – network biology applied to stem cell engineering

CellNet – network biology applied to stem cell engineering

Somatic cell reprogramming, directed differentiation of pluripotent stem cells, and direct conversions between differentiated cell lineages represent powerful approaches to engineer cells for research and regenerative medicine. A team led by researchers at Boston Children’s Hospital have developed CellNet, a ...

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High-Resolution Transcriptome Analysis with Long-Read RNA Sequencing

High-Resolution Transcriptome Analysis with Long-Read RNA Sequencing

RNA sequencing (RNA-seq) enables characterization and quantification of individual transcriptomes as well as detection of patterns of allelic expression and alternative splicing. Current RNA-seq protocols depend on high-throughput short-read sequencing of cDNA. However, as ongoing advances are rapidly yielding increasing ...

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