Abstract
Whole-genome tiling arrays are powerful tools for detecting and characterizing novel RNA transcripts. Here, we describe a complete method combining elements of molecular and computational biology to identify small noncoding RNA (sRNA) transcripts. We focus on the key features of this approach, which include size-fractionation of input RNA, direct detection of array hybridization with antibodies that recognize RNA:DNA hybrids, and correlation-based computational methods for automated sRNA identification and boundary determination.
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Acknowledgements
This work was supported by NIH grants GM51426 and GM32506, by DOE grants DE-FG03ER63219-A001 and DE-FG02ER63219, and also supported by the Stanford NIH Genome Training Grant (SGL).
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Landt, S.G., Abeliuk, E. (2012). A Strategy for Identifying Noncoding RNAs Using Whole-Genome Tiling Arrays. In: Keiler, K. (eds) Bacterial Regulatory RNA. Methods in Molecular Biology, vol 905. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-61779-949-5_3
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DOI: https://doi.org/10.1007/978-1-61779-949-5_3
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