Integration of quantitated expression estimates from polyA-selected and rRNA-depleted RNA-seq libraries

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Summary

This study aimed to develop a systematic means of accounting for library type that allows data from these two methods to be compared, and developed an almost perfect correlation between gene expression estimates, independent of library type and across the full range of levels of expression.

Type
article
Published
2017-06-13
Cited by
35
References
94
Access
Open access

Keywords

Transcriptome, Computational biology, Biology, RNA, RNA-Seq

References

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