GEO DataSets

(Submitter supplied) Current next-generation RNA sequencing methods do not provide accurate quantification of small RNAs within a sample due to sequence-dependent biases in capture, ligation, and amplification during library preparation. We present a method – AQRNA-seq – that minimizes biases and provides a direct, linear correlation between sequencing read count and copy number for small RNAs in a sample. The library preparation and data processing steps were optimized and validated using a 963-member microRNA reference library, oligonucleotide standards of varying lengths, and northern blots. more...

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by high throughput sequencing

Platform:

GPL18573

15 Samples

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